Jobs

CodeSmart is seeking an experienced and proactive Senior Python Developer to join our growing engineering team. The ideal candidate has a deep understanding of Python, extensive experience building scalable web applications with Django, and a strong background in distributed systems using Celery and RabbitMQ. You will also be responsible for designing and integrating features powered by OpenAI and other LLM APIs, helping us build intelligent, AI-driven products.

As a Senior Python Developer, you will own core parts of the backend architecture, mentor other engineers, and work closely with product and cross-functional teams to deliver robust, high-quality solutions.
 

Responsibilities:

• Design, develop, and maintain backend services using Django framework and Fast API.
• Architect and optimize asynchronous task processing using Celery and RabbitMQ.
• Design and implement features that leverage OpenAI and other LLM APIs (e.g., content generation, assistants, search, classification, and summarization).
• Take ownership of technical solutions from design through deployment, monitoring, and iteration.
• Collaborate with product managers, designers, and other developers to define and implement new features.
• Write efficient, reusable, testable, and well-documented code.
• Participate in and lead code reviews, ensuring code quality, performance, and adherence to best practices.
• Design and optimize Postgres database schemas, queries, and migrations.
• Use Docker to containerize applications and support deployment workflows.
• Diagnose, troubleshoot, and resolve complex production issues.
• Mentor Middle and Junior developers, providing technical guidance and knowledge sharing.
• Stay current with industry trends, especially in LLMs, AI/ML tooling, and backend technologies, and bring relevant ideas into the team.
   

Requirements:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
• 6+ years of commercial experience in Python backend development.
• Strong hands-on experience with the Django framework.
• Proven production experience integrating and working with OpenAI and other LLM APIs (e.g., prompt design, handling context windows, managing costs and rate limits).
• Experience building AI-powered features or workflows on top of LLMs (chatbots, assistants, content generation, semantic search, etc.).
• Strong knowledge of Object-Oriented Programming, design patterns, and application architecture.
• Proficiency with Postgres SQL: schema design, indexing, query optimization.
• Practical experience with Docker for development and deployment.
• Strong debugging, performance optimization, and problem-solving skills.
• Experience with Git.
• Experience working in Agile environments Scrum/Kanban.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and CI/CD.
• Excellent communication skills and the ability to collaborate effectively in a distributed team.
• Experience building AI-powered features: content generation, interactive workflows, structured output parsing, prompt design
• Solid production experience with Celery + RabbitMQ (retries, task states, error handling, restart resilience)
• Strong knowledge of Docker & Docker Compose for development and deployment of multi-container applications

If you have real-world prompt examples from production projects (chatbots, interactive story generators, agents, RAG pipelines with multi-step reasoning), please highlight them in your cover letter or include GitHub links. This will significantly speed up the review process.
 

If you’re passionate about building scalable backend systems and excited to work at the intersection of Python and LLM-powered applications, we’d love to hear from you.

Description

Our client is an innovative medical device manufacturer in the United States that develops devices and software applications.

At this project, you will have a great opportunity to be involved into the full development life cycle of medical device and software, which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities. Additionally, there are opportunities to work with medical devices in the scope of end-to-end testing.

Requirements

We are seeking an Embedded Systems Architect to lead the end-to-end architecture modernization of a health monitoring product based on an ARM Cortex MCU. The system performs continuous physiological data acquisition, on-device preprocessing, BLE communication with a gateway/bridge, and secure transmission to the cloud. This role is responsible for improving the embedded architecture, ensuring reliability in medically regulated environments, guiding firmware development practices, and collaborating closely with hardware, mobile, cloud, QA, and regulatory teams.

• 10+ years in software engineering in the embedded space and cloud services space
• Strong experience in bare-metal C on ARM Cortex-M microcontrollers
• Deep understanding of RT constraints, interrupts, timers, DMA, power modes, and MCU peripherals
• Expertise with BLE (Bluetooth Low Energy)
• Experience building battery-powered low-power devices
• Strong understanding of embedded security (secure boot, encryption, firmware integrity)
• Strong creativity in problem solving skills
• Teamwork & collaboration skills to work across organizations and lead cross-functional teams
• Communication & stakeholder management skills
• Problem solving skills to develop quick yet sound solutions to resolve complex challenges

Job responsibilities

•  Overview the embedded firmware architecture for an ARM Cortex-based bare-metal system
•  Improve data acquisition, buffering, signal processing, and BLE communication modules
•  Lead partitioning between BLE stack, mobile/bridge, and cloud components
•  Establish a robust power-management strategy suitable for long-term wearable operation
•  Ensure the system meets real-time constraints, low latency, and low power budgets

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Remote  |  EU Time Zone (CET ±4 hours)  |  Full-Time

Competitive salary based on experience  |  Equity options available

About Amplifier AI

We’re building the next generation of surgical planning software for interventional radiology and cardiothoracic surgery. Our platform turns CT scans into interactive 3D models that help surgeons plan complex procedures—from endovascular aortic repair (EVAR) to transcatheter aortic valve implantation (TAVI) and beyond.

Our core library powers 17+ clinical analysis pipelines that perform automated anatomical segmentation, vessel centerline extraction, hemodynamic measurements, and risk stratification. Every algorithm we ship has a direct impact on patient outcomes.

We’re a small, focused team where your code goes from PR to operating-room screen in weeks, not quarters. If you want to work on technically challenging problems that genuinely matter, keep reading.

What You’ll Work On

This isn’t a generic backend role. Here’s what a typical month might look like:

• Extending our NNUnet-based segmentation pipelines (we run 15+ trained models across organs, vessels, bones, and tumors) and validating results against clinical ground truth

• Building automated measurement workflows—think aortic neck angulation, iliac tortuosity indices, or landing-zone diameter calculations that feed directly into surgical reports

• Developing new workspace modules: designing the data flow from raw DICOM volumes through preprocessing, AI inference, post-processing, and 3D scene generation

• Optimizing inference performance for GPU and CPU execution, including memory-aware scheduling and adaptive resolution strategies

• Working with SimpleITK, NumPy, and our in-house volume processing library to manipulate medical images at the voxel level—resampling, label morphology, island filtering, ROI extraction

• Collaborating directly with radiologists and surgeons to translate clinical requirements into algorithmic specifications

Our Tech Stack

• Language: Python 3.12+ (modern typing, dataclasses, async patterns)

• Medical Imaging: SimpleITK, NIfTI volumes, DICOM processing

• AI/ML: NNUnet framework, PyTorch, custom inference pipelines

• Infrastructure: Docker, NVIDIA GPU compute, CI/CD with automated testing

• 3D Visualization: Unity integration (you won’t write C#, but your Python outputs drive the 3D viewer)

• Tools: Git, Jira, Confluence, VS Code / PyCharm

What We’re Looking For

Must-haves:

• Strong Python fundamentals: you write clean, typed, well-structured code and understand performance trade-offs

• Experience with NumPy/SciPy for numerical computing—you’re comfortable thinking in arrays and transforms

• Familiarity with medical imaging concepts (DICOM, NIfTI, voxel spaces, coordinate systems) or strong willingness to learn quickly

• Understanding of machine learning inference pipelines, even if you’re not training models from scratch

• Ability to work independently in a remote-first environment with 4+ hours of overlap with CET business hours

Nice-to-haves:

• Experience with SimpleITK or ITK for image registration, segmentation, or morphological operations

• Background in NNUnet or similar medical segmentation frameworks

• Knowledge of 3D geometry: meshes, centerline extraction, spatial transforms

• Contributions to open-source scientific Python projects

• Domain experience in radiology, surgical planning, or health-tech

A Few Things to Know

To set expectations clearly, here’s what this role involves:

• The codebase is scientifically dense—you’ll work with Hounsfield units, anatomical coordinate systems, and clinical measurement standards. Curiosity about the domain is essential.

• We’re a startup. Processes are evolving, requirements shift, and you’ll sometimes need to figure things out from first principles rather than following established playbooks.

• This is primarily a backend/algorithmic role. If you’re looking for frontend or web development work, this isn’t the right fit.

• We care deeply about code quality—type hints, meaningful tests, clear documentation. We review each other’s work carefully.

Why Join Us

• Direct clinical impact: your code helps surgeons plan life-saving procedures more accurately

• Technically deep work at the intersection of AI, medical imaging, and 3D visualization

• Small team, big ownership: you’ll shape architecture decisions and see your ideas go to production

• Flexible remote setup with asynchronous communication and minimal meetings

• Competitive compensation with equity participation

How to Apply

Send us your CV along with a short note covering:

1. A brief description of the most technically challenging Python project you’ve worked on—what made it hard, and how you solved it.

2. Your experience (if any) with medical imaging, numerical computing, or ML inference—even if it’s from a different domain.

3. Your availability and time zone.

No cover letter template needed—just be direct. We review every application personally.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Middle DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• 1+ years of experience with LLM and NLP-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Hands-on experience with RAG and vector DBs
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

Description

Operating within the healthcare industry, this organization focuses on the development of innovative medical devices that enhance patient care and safety. Their core services include the design and manufacturing of advanced embedded systems tailored for medical applications. The typical customer segments include hospitals, clinics, and healthcare providers seeking reliable and effective medical solutions. The organization leverages cutting-edge technology to ensure compliance with industry standards and improve overall patient outcomes.

Requirements

Must Have:
– 5 + years embedded C on ARM MCUs
– UART / SPI / I²C / GPIO integration
– RTOS (FreeRTOS or CMSIS-RTOS)
– IAR Workbench / SWD debugging
– Secure Boot concepts (hash + signature verify)
– NAND / Flash data management
– Git / branching / code review workflow

Nice to Have:
– Cellular modems (u-blox SARA-R4 / R5)
– OTA update flow experience
– AES / HMAC cryptography libraries (mbedTLS)
– Python for testing and firmware tools
– FDA / IEC 62304 development environment experience

Job responsibilities

• Implement and maintain embedded firmware for medical devices under guidance.
• Collaborate with cross-functional teams to support software development processes.
• Participate in code reviews to learn best practices and improve code quality.
• Contribute under guidance to the documentation of firmware specifications.
• Observe and learn from senior engineers during the debugging and testing phases.
• Support the integration of security features in embedded systems.
• Help in the analysis of system performance and suggest improvements.
• Assist in the development of test plans for firmware validation.
• Learn about industry standards and regulations applicable to medical devices.
• Participate in team meetings to discuss project progress and challenges.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do

Description

Our client is an innovative medical device manufacturer in the United States that develops devices and software applications.

At this project, you will have a great opportunity to be involved into the full development life cycle of medical device and software, which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities. Additionally, there are opportunities to work with medical devices in the scope of end-to-end testing.

Requirements

We are seeking a Principal Embedded Engineer (Technical Lead) to drive the technical design, advanced development, and modernization of a health monitoring product based on an ARM Cortex MCU. The system performs continuous physiological data acquisition, on-device preprocessing, BLE communication with a gateway/bridge, and secure transmission to the cloud.

As a Principal Engineer, you will act as the deep technical expert on the team. This role is responsible for tackling the most complex embedded challenges, designing robust firmware architecture, writing mission-critical code, and ensuring reliability in a medically regulated environment. You will set the standard for firmware development practices, mentor senior and mid-level engineers, and collaborate closely with hardware, mobile, cloud, QA, and regulatory teams to deliver a seamless product.

Requirements

• 7+ years of hands-on software engineering experience, primarily in the embedded space, with a solid understanding of IoT/cloud integrations.
• Strong, hands-on expertise in bare-metal C on ARM Cortex-M microcontrollers.
• Deep understanding of real-time constraints, interrupts, timers, DMA, power modes, and MCU peripherals.
• Extensive experience with BLE (Bluetooth Low Energy) stacks and communication protocols.
• Proven track record building battery-powered, low-power devices for continuous operation.
• Strong understanding of embedded security (secure boot, encryption, firmware integrity, and secure OTA updates).
• High-level problem-solving creativity, with the ability to dive deep into code to resolve complex, low-level technical challenges.
• Technical leadership skills to mentor development teams, drive engineering excellence, and collaborate effectively across organizations.
• Excellent communication and stakeholder management skills to translate complex embedded constraints to cross-functional teams (mobile, cloud, hardware).

Job responsibilities

• Architect, design, and actively code the core modules of the embedded firmware for an ARM Cortex-based bare-metal system.
• Optimize and improve critical paths in data acquisition, buffering, signal processing, and BLE communication modules.
• Drive the embedded technical strategy and collaborate closely on system-level partitioning between the BLE stack, mobile/bridge, and cloud components.
• Develop and implement a robust power-management strategy suitable for long-term, continuous wearable operation.
• Ensure the system strictly meets real-time constraints, low latency requirements, and aggressive low-power budgets.
• Lead by example in code quality, establishing rigorous peer review standards, testing methodologies, and CI/CD practices for the firmware team.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Description

Our client is an innovative medical device manufacturer in the United States that develops devices and software applications.

At this project, you will have a great opportunity to be involved into the full development life cycle of medical device and software, which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities. Additionally, there are opportunities to work with medical devices in the scope of end-to-end testing.

Requirements

We are seeking a Principal Embedded Engineer (Technical Lead) to drive the technical design, advanced development, and modernization of a health monitoring product based on an ARM Cortex MCU. The system performs continuous physiological data acquisition, on-device preprocessing, BLE communication with a gateway/bridge, and secure transmission to the cloud.

As a Principal Engineer, you will act as the deep technical expert on the team. This role is responsible for tackling the most complex embedded challenges, designing robust firmware architecture, writing mission-critical code, and ensuring reliability in a medically regulated environment. You will set the standard for firmware development practices, mentor senior and mid-level engineers, and collaborate closely with hardware, mobile, cloud, QA, and regulatory teams to deliver a seamless product.

Requirements

• 7+ years of hands-on software engineering experience, primarily in the embedded space, with a solid understanding of IoT/cloud integrations.
• Strong, hands-on expertise in bare-metal C on ARM Cortex-M microcontrollers.
• Deep understanding of real-time constraints, interrupts, timers, DMA, power modes, and MCU peripherals.
• Extensive experience with BLE (Bluetooth Low Energy) stacks and communication protocols.
• Proven track record building battery-powered, low-power devices for continuous operation.
• Strong understanding of embedded security (secure boot, encryption, firmware integrity, and secure OTA updates).
• High-level problem-solving creativity, with the ability to dive deep into code to resolve complex, low-level technical challenges.
• Technical leadership skills to mentor development teams, drive engineering excellence, and collaborate effectively across organizations.
• Excellent communication and stakeholder management skills to translate complex embedded constraints to cross-functional teams (mobile, cloud, hardware).

Job responsibilities

• Architect, design, and actively code the core modules of the embedded firmware for an ARM Cortex-based bare-metal system.
• Optimize and improve critical paths in data acquisition, buffering, signal processing, and BLE communication modules.
• Drive the embedded technical strategy and collaborate closely on system-level partitioning between the BLE stack, mobile/bridge, and cloud components.
• Develop and implement a robust power-management strategy suitable for long-term, continuous wearable operation.
• Ensure the system strictly meets real-time constraints, low latency requirements, and aggressive low-power budgets.
• Lead by example in code quality, establishing rigorous peer review standards, testing methodologies, and CI/CD practices for the firmware team.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• Strong understanding and experience in the development of high-load production systems
• 2+ years of experience with LLM and NLP-related tasks
• Hands-on experience with RAG and vector DBs
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Kubernetes
• Strong experience in development with AI tools (Claude Code, Cursor)
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Familiarity with MCP (Model Context Protocol)
• Experience with production LLM frameworks (vLLM)
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

The company is building a healthcare-focused adtech platform that enables precise targeting of healthcare professionals using large-scale data and AI.

We’re looking for a Senior Data Analyst to define how we measure data quality, evaluate AI/LLM-based scoring, and generate insights that support product, sales, and media buying teams. You’ll work with 70+ TB of data, design evaluation frameworks from scratch, and help optimize performance, cost, and data pipelines.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus (one or more)

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

 We’re  looking for a Senior Product Manager to lead our ad network integrations and channel expansion strategy.

This role is ideal for someone with strong hands-on media buying experience who understands how campaigns work end-to-end — from setup to optimization and attribution — and can translate that into scalable product solutions.

What you’ll do:
• Own product strategy and roadmap for ad platform integrations
• Build and optimize connections with Facebook, LinkedIn, TikTok, X, and more
• Drive automation, real-time data sync, and performance reporting
• Lead a cross-functional team (engineering, data, QA)
• Turn business & media buying needs into powerful product features

What we’re looking for:
• 5+ years in Product Management (AdTech / MarTech)
• Hands-on media buying experience (must-have)
• Strong understanding of paid social, attribution, and campaign performance
• Experience with APIs, integrations, and data-driven products
• AI-first mindset and experience using AI tools in workflows

Nice to have: 
Programmatic advertising (DSP, SSP, ad exchanges)
Pharma / healthcare marketing experience
Healthcare professional targeting, NPI data
Automation technologies
AI agents and AI-driven workflows

Join us to build a platform that connects media buying, data, and performance into one ecosystem.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Scientist/Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

WHAT YOU'LL BE WORKING ON

• Backend (Kotlin): Financial core: ledger, settlement, payouts, pricing, reserves
• Integrations: payment providers, KYC/KYB, banking (SEPA/SWIFT)
• Webhooks & event-driven processing
• REST APIs for product and internal tools
• BPMN workflows (Camunda): onboarding, AML, disputes, settlements
• Compliance flows: transaction monitoring, SAR
• Frontend (Next.js): Merchant portal (transactions, payouts, dashboards, onboarding)
• Internal ops/admin tools (AML, disputes, treasury, compliance)
• Developer portal (API docs, sandbox, integration guides)
• Reconciliation across multiple systems (gateway → processor → bank)
• Reporting: regulatory, scheme, financial
• Fully automated testing (unit / integration / e2e, no manual QA). 

OUR TECH STACK

• Backend: Kotlin, Spring Boot 3, Spring Modulith
• Frontend: Next.js 15, TypeScript, shadcn/ui, Tailwind CSS
• Database: PostgreSQL 18 (RDS, pgvector, JSONB, FTS)
• BPMS: Camunda 8 (Zeebe, BPMN, DMN)
• Auth: Okta
• Infra: AWS, EKS, Docker, GitLab CI/CD

WHAT YOU NEED TO SUCCEED IN THIS ROLE

• At least 4-5 years of experience with Java/Kotlin (Spring Boot)
• Solid experience building REST APIs and backend systems
• Hands-on experience with React / Next.js and TypeScript
• Strong knowledge of PostgreSQL (queries, indexing, migrations)
• Understanding of event-driven architecture, webhooks, async processing
• Experience with API design (versioning, idempotency, error handling)
• Experience with CI/CD and Git workflows
• Full-stack mindset (not backend-only)
• Ability to work with system design and architecture decisions
• Proactive approach and ownership (doesn’t wait for tasks, drives solutions)
• Testing ownership
• AI fluency: actively using AI tools in daily engineering work (not just basic usage)
• Comfortable in a fast-paced startup environment, actively contributing ideas and driving solutions end-to-end rather than just executing tasks
• English level at least A2-B1 

WHAT WE OFFER

• Remote work (EU timezone or close to it) 
• Competitive compensation above typical market benchmarks for similar roles
• Direct collaboration with CTO and CPO
• Fintech domain: card payments, compliance, settlement - deep immersion
• Paid vacation and sick leave
• Company-provided equipment (Apple devices)
• Small, highly engaged team with strong ownership
• Real opportunity to influence product decisions and bring your ideas to life
• Fast-paced environment with minimal bureaucracy

We’re looking for experienced an Affiliate Manager to join our team! In this role, you’ll be at the heart of our partner program, building relationships and driving success for our affiliates and the company alike.

Are you ready to elevate your career in an innovative and dynamic environment that values growth and collaboration? If you’re eager to make an impact and develop your skills alongside a passionate team, we’d love to hear you! Join us, and let’s take your career to the next level together.

HOW YOU WILL MAKE AN IMPACT

• Develop and present tailored partnership proposals, effectively negotiating terms to build mutually beneficial agreements with new and existing affiliates.
• Guide and support partners through every stage of the partnership, ensuring a seamless experience and fostering strong, long-term relationships.
• Drive retention and motivation among existing partners by creating customized offers for different partner segments, and implementing a loyalty system for high-potential affiliates.
• Monitor and ensure the quality and compliance of affiliate-posted materials, upholding brand standards and message consistency.
• Analyze partner traffic to establish a comprehensive reporting system, leveraging insights to optimize strategy and drive improvements in key performance indicators (KPIs).
• Analyze key performance metrics (ROI, LTV, NGR, GGR, ARPU, ROAS, etc.) and implement strategies to improve their efficiency and overall profitability.
• Increase customer acquisition by driving higher traffic flow from partner sites to our products. Achieve and exceed KPIs related to acquiring new clients and partners, setting the bar for growth and performance.
• Use CRM tools to accurately track, maintain, and manage all partner contacts, ensuring up-to-date records and efficient communication.

WHAT WILL HELP YOU SUCCEED IN THE ROLE

• Minimum of 1,5 years of proven experience in affiliate marketing within the iGaming and Betting industry.
• Upper-intermediate or higher proficiency in English.
• Strong analytical skills to evaluate and optimize traffic funnels, identifying the most effective paths to conversion.
• Proficiency in creating clear and detailed technical tasks for developers and designers.
• Excellent organizational and time management abilities to handle multiple partners and projects effectively.
• Your soft skills, as well as negotiation skills, should be top-notch.
• You are available to travel and attend the conferences.

HOW WE WILL KEEP YOU SMILING

• Flexible working hours and a remote work setup, so you can plan work around your life and not your life around work!
• Unlimited vacation days and paid sick leave—because your rest matters.
• A competitive compensation that truly reflects your skills and expertise.
• Employee referral bonus and gifts to celebrate your special occasions.
• 50% financial support for learning expenses to supercharge your professional growth!
• A positive atmosphere where you always feel respected and truly belong.
• Inspirational team-building activities that turn colleagues into best friends.
• Wellness benefits: We’ll support your sports passions, from yoga classes to gym memberships.
• Co-working space reimbursement to save your nerves from always working from home :)

English: Intermediate+

Requirements:

• 4+ years in backend/fullstack development
• Strong experience with Node.js + TypeScript (NestJS preferred)
• Solid experience with PostgreSQL and relational DB design
• Experience building scalable REST APIs
• Experience with Redis (caching, queues)
• Experience with React / Next.js for admin panels / CMS
• Experience with role-based access control and permissions
• Experience with media/content platforms is a plus
• Experience with AWS or similar cloud (S3, CDN, compute)
• Understanding of video/audio streaming integrations (HLS, RTMP) is a plus
• Experience with analytics, subscriptions, and content gating logic is a plus

Project context:
* Building a streaming platform (audio + video + live + podcasts)
* Mobile apps (Flutter) + Web CMS
* Custom backend required (API + admin panel)
* Client provides hosting & streaming infra
* Need scalable architecture and clean implementation

Main responsibilities:
* Design and implement backend architecture (NestJS)
* Build REST API for mobile apps and CMS
* Design PostgreSQL schema
* Implement CMS (React / Next.js)
* Integrate streaming layer (as orchestration, not from scratch)
* Implement subscriptions, content gating, analytics
* Collaborate with mobile team

Work likely through UpWork !!!

About the role:

We are seeking a hands-on Security Engineer to design, implement, and operate effective security controls across our corporate IT and SaaS ecosystems. This role focuses on endpoint, identity, and SaaS security, building and maintaining secure baselines through effective use of MDM, EDR, and IAM, while ensuring controls are measurable, documented, and continuously improved.

You will work closely with Security and IT, Delivery, and Business stakeholders to reduce security risk, improve operational resilience, strengthen company-wide security awareness, and support audit readiness (SOC 2 / ISO/IEC 27001) through strong documentation, evidence collection, and continuous control improvement via GRC workflows.

Responsibilities

• Implement and administer MDM, EDR, and IAM controls (device enrollment & baselines, endpoint protection policies, hardening, SSO/MFA, conditional access, access reviews, etc.).
• Maintain and continuously improve the security baseline for endpoints and corporate SaaS services.
• SIEM implementation, onboarding log sources, maintaining ingestion, and alerting.
• Prepare and maintain security awareness materials and support company-wide security awareness activities to improve employees’ cyber hygiene.
• Manage and respond to security incidents, including investigation, containment, eradication, recovery, and post-incident analysis.
• Contribute to the development and maintenance of internal policies, procedures, and controls related to security and compliance.
• Collaborate with other teams on secure onboarding of systems/vendors and ongoing security improvements.
• Monitor and mitigate phishing, malware, and other cyber threats.

• Maintain awareness of emerging threats and recommend improvements.

   

Requirements

• 3+ years of hands-on experience in an IT service/outsourcing company in the position of IT Security / Security Engineer with strong security ownership.
• Proven hands-on experience in implementing and administering CrowdStrike Falcon (EDR/XDR), ManageEngine Endpoint Central (Zoho), and Okta IAM or similar solutions.
• Strong understanding of endpoint and identity security fundamentals (device hardening, patching, MFA/SSO, conditional access, access lifecycle, etc.).
• Hands-on experience with SIEM/log aggregation, including SIEM implementation, onboarding log sources, maintaining reliable log ingestion pipelines, and configuring alerting/use cases.
• Experience in investigating security events and incidents, conducting root cause analysis, and producing post-incident reports.
• Basic scripting knowledge (Bash, Python, PowerShell) for automation.
• Strong analytical and troubleshooting skills, ability to work with logs, alerts, and system telemetry.
• Ability to write and maintain technical documentation (policies, standards, processes, playbooks).
• English: Upper intermediate or higher.
• Ability to work independently and as part of a team.
• Strong communication and interpersonal skills.

Would be a plus:

• Familiarity with data privacy and regulatory compliance requirements (e.g., GDPR, HIPAA, PCI DSS).
• Experience with Google Workspace security administration at scale.
• Experience in data-intensive projects (DWH, BI, AI, analytics).