Jobs Data & Analytics

Are you passionate about shaping the future of digital advertising?

We are looking for a Business Analyst to join our high-load AdTech project, supporting a global self-serve advertising platform used by thousands of advertisers worldwide. This role offers the flexibility of remote work with occasional team meetups.

We at Sigma Software partner with leading technology companies to deliver cutting-edge solutions. Here, you will work alongside international publishers, advertisers, and cross-functional teams to streamline workflows and enable scalable platform growth.

You will be part of an innovative environment with professional development opportunities, competitive benefits, and the chance to make a tangible impact on an industry-leading platform.

CUSTOMER

Our Customer is a Sweden-based AdTech company specializing in advanced self-serve advertising platforms that automate direct transactions between advertisers and major global publishers. Their technology removes traditional friction in ad sales by enabling automation, transparency, and operational efficiency at scale. Platforms are trusted by internationally recognized publishers, including TripAdvisor, Bloomberg, The Washington Post, Opera, and Dow Jones, handling millions of transactions worldwide. 

PROJECT

The project is a strategic architectural transformation toward a Platform-First approach. The company is transitioning from monolithic, client-specific implementations to a standardized, API-driven, multi-tenant ecosystem of reusable microservices. These services power the entire product suite, remaining independent, scalable, and decoupled from frontend or customer-specific customization.

Job Description

• Map, analyze, and redesign publisher workflows (onboarding, billing, campaign approval) using BPMN
• Create and manage the business rules document for core platform capabilities
• Design standardized workflows “Golden Path” to optimize the multi-tenant architecture
• Collaborate with the Head of Data & AI to identify automation opportunities
• Audit live automated processes to verify efficiency and ROI outcomes, tracking metrics such as cycle time, auto-approval rate, and rework percentage
• Facilitate requirements gathering sessions with internal and external stakeholders
• Translate complex business needs into actionable specifications for engineering teams
• Support testing and validation of new features against defined business rules

Qualifications

• At least 3 years of experience as a Business Analyst
• Deep understanding of AdTech and/or white-label SaaS operational workflows
• Proficiency in BPMN, UML, and Swimlane diagramming
• Advanced ability to interview stakeholders and extract complex business rules and requirements
• Familiarity with Agile/Scrum methodologies
• Experience defining and managing API contracts and data models (REST/GraphQL, JSON)
• Familiarity with A/B testing or experimentation frameworks
• Proficiency in analytics and BI tools (SQL, Looker, Tableau)
• At least an Upper-Intermediate level of English

WILL BE A PLUS

• Experience with cloud-native SaaS (AWS/Azure) and CI/CD tooling
• Background in process governance, release management, RACI matrices, and change control

PERSONAL PROFILE

• Proactive, analytical professional with strong attention to detail
• Performs effectively in dynamic, high-load environments
• Translates business needs into clear, actionable technical solutions

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

The ideal candidate has previous startup experience and is passionate about building products from the ground up. We’re looking for someone who genuinely enjoys coding, solving complex technical challenges, taking ownership, and moving fast in a high-impact environment.

About the Role

We are specifically looking for a Founding Engineer who is skilled enough to drive architecture and infrastructure decisions while remaining deeply hands-on in development.

The key requirements are a startup mindset, ownership, autonomy, and strong technical execution.

You’ll work directly with the founder on both technical and product decisions while helping to shape the company’s engineering culture and technical direction.

What You’ll Do

• Architect, prototype, and build product features from scratch.
• Develop integrations with AI platforms (OpenAI, Perplexity, etc.).
• Build integrations with 3rd-party systems and CRMs.
• Design scalable backend services and APIs.
• Work on AI agents, RAG systems, and prompt engineering.
• Design and optimize SQL databases.
• Build cloud-native infrastructure on AWS/GCP/Azure.
• Implement asynchronous task-processing patterns (RabbitMQ, SQS).
• Collaborate directly with the founder on product and business decisions.
• Help define technical standards and engineering best practices.
• Contribute to a fast-moving startup environment with high ownership.

RequirementsMust-Have

• Senior-level software engineering experience
• 1+ year of startup experience (ideally direct hire at a start up)
• 5+ years of commercial development experience
• Strong hands-on experience with:
  • TypeScript
  • Node.js
  • REST APIs
  • JSON
  • Git
• Experience building AI agents, RAG systems, or LLM-powered products
• Strong prompt engineering skills
• Experience with API integrations
• Strong SQL and database design skills
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Understanding of asynchronous systems and queues (RabbitMQ, SQS, or similar)
• Strong communication skills and product mindset
• High level of ownership and autonomy

Nice-to-Have

• Previous CTO or technical leadership experience
• Experience with n8n or Make
• Experience building SaaS products
• Experience scaling early-stage startups
• Infrastructure and architecture leadership experience

What We Offer

• Full-time engagement
• Fully remote work
• Long-term cooperation
• Founding member equity
• Opportunity to directly influence company and product strategy
• Fast personal and professional growth
• Freedom, ownership, and real responsibility
• Opportunity to grow into a future CTO role
• Modern AI-first development environment (including Cursor Agent mode)
• U.S. company contract
• Paid vacation days

Recruitment Process

1. Pre-screen with a recruitment manager
2. Pre-screen call witht the startup founder
3. Technical deep-dive interview with a small live coding session
4. Call to meet the team

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

The ideal candidate has previous startup experience and is passionate about building products from the ground up. We’re looking for someone who genuinely enjoys coding, solving complex technical challenges, taking ownership, and moving fast in a high-impact environment.

About the Role

We are specifically looking for a Founding Engineer who is skilled enough to drive architecture and infrastructure decisions while remaining deeply hands-on in development.

The key requirements are a startup mindset, ownership, autonomy, and strong technical execution.

You’ll work directly with the founder on both technical and product decisions while helping to shape the company’s engineering culture and technical direction.

What You’ll Do

• Architect, prototype, and build product features from scratch.
• Develop integrations with AI platforms (OpenAI, Perplexity, etc.).
• Build integrations with 3rd-party systems and CRMs.
• Design scalable backend services and APIs.
• Work on AI agents, RAG systems, and prompt engineering.
• Design and optimize SQL databases.
• Build cloud-native infrastructure on AWS/GCP/Azure.
• Implement asynchronous task-processing patterns (RabbitMQ, SQS).
• Collaborate directly with the founder on product and business decisions.
• Help define technical standards and engineering best practices.
• Contribute to a fast-moving startup environment with high ownership.

RequirementsMust-Have

• Senior-level software engineering experience
• 1+ year of startup experience (ideally direct hire at a start up)
• 5+ years of commercial development experience
• Strong hands-on experience with:
  • TypeScript
  • Node.js
  • REST APIs
  • JSON
  • Git
• Experience building AI agents, RAG systems, or LLM-powered products
• Strong prompt engineering skills
• Experience with API integrations
• Strong SQL and database design skills
• Experience with cloud infrastructure (AWS, GCP, or Azure)
• Understanding of asynchronous systems and queues (RabbitMQ, SQS, or similar)
• Strong communication skills and product mindset
• High level of ownership and autonomy

Nice-to-Have

• Previous CTO or technical leadership experience
• Experience with n8n or Make
• Experience building SaaS products
• Experience scaling early-stage startups
• Infrastructure and architecture leadership experience

What We Offer

• Full-time engagement
• Fully remote work
• Long-term cooperation
• Founding member equity
• Opportunity to directly influence company and product strategy
• Fast personal and professional growth
• Freedom, ownership, and real responsibility
• Opportunity to grow into a future CTO role
• Modern AI-first development environment (including Cursor Agent mode)
• U.S. company contract
• Paid vacation days

Recruitment Process

1. Pre-screen with a recruitment manager
2. Pre-screen call witht the startup founder
3. Technical deep-dive interview with a small live coding session
4. Call to meet the team

We're building generative image models for character-based children's entertainment, and we're looking for an AI Research Engineer to train, fine-tune, and improve them.

This is a research and model-training role. You'll work from datasets prepared by a separate data cleaning and preparation team. Your job is to make the models better: improve image quality, character consistency, style consistency, and prompt adherence through structured experimentation.

We're looking for someone who reasons scientifically about model behavior, who can look at a failing output and determine why, then fix and test the solution. This requires more skills than simply training a model.

We're delivering industry-leading character and style consistency. You'll be a key part of this team, pushing the boundaries of what's possible for some of the biggest names in entertainment.

What you'll do:

• Train and fine-tune diffusion models (LoRA and related methods)
• Design and run controlled ML experiments: architectures, hyperparameters, training strategies
• Evaluate output quality using visual, quantitative, and human-evaluation methods
• Diagnose failed generations and identify the model-side cause (identity consistency, captions, regularization, LoRA rank, learning rate, architecture limits)
• Improve character consistency, style consistency, and prompt adherence
• Compare outputs across experiments and keep clear experiment logs
• Give the data team specific, actionable feedback on what data improves model performance
• Recommend changes to training strategy based on results

Requirements

• Strong Python and PyTorch
• Hands-on experience training or fine-tuning deep learning models
• Experience with diffusion models and generative image systems
• Experience with LoRA, DreamBooth, or similar fine-tuning methods
• Solid grounding in computer vision and deep learning fundamentals
• Ability to design controlled experiments and isolate variables
• Comfortable interpreting loss curves and debugging training behavior (overfitting, underfitting, dataset bias)
• Strong documentation and experiment-tracking habits
• Able to work independently in a remote, startup-style environment

Nice to have

• Stable Diffusion, SDXL, Flux, ControlNet, IP-Adapter
• Character-consistent and multi-character image generation
• Experiment tracking with Weights & Biases, MLflow, or TensorBoard
• Cloud GPU infrastructure (RunPod, AWS, GCP), Docker, Linux
• Experience with children's media, animation, or illustration content
• MSc, PhD, or research background in AI / computer vision / ML; publications or a strong image-generation portfolio

We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This role is ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;

• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences.

   

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

We Offer:

• Remote work and flexible working hours.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.
 

The role is based in Kyiv, and we expect you to work full-time in the office.
 

What is your Day to Day Mission:

• Lead team of ML Engineers
• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 8+ years of experience in AI/ML, with a strong focus on computer vision
• Strong Leadership experience
• Experience building ML infrastructure and training pipelines
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus
• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies
• Understanding of object re-identification or multi-target tracking

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance
• Research and apply state-of-the-art deep learning methods in computer vision

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

 Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.
• We promise to be your runway for individual and professional growth.

• Project Description:

  Join the Data Engineering team to contribute to the ongoing maintenance and improvement of an internal LLM-powered assistant that uses hosted LLM APIs and internal knowledge sources, with a focus on reliability, retrieval quality, and operational excellence.

• Responsibilities:

  • Maintain and enhance ingestion/enrichment pipelines for internal content (parsing/extraction, normalization, metadata enrichment, deduplication, and quality monitoring)
  • Improve indexing and retrieval performance and quality (chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching) and support hybrid retrieval capabilities (vector + keyword/BM25 + metadata)
  • Implement and maintain access-aware retrieval by propagating/enforcing document permissions through indexing and query-time filters, including audit logs and validation tests
  • Improve source attribution so responses reliably point to the correct documents and sections in a consistent format.
  • Extend and harden tool/workflow execution and automations (scheduled/trigger-based), including retries, timeouts, idempotency, concurrency controls, and run history
  • Develop and maintain evaluation and regression testing (golden sets, automated scoring) and support structured comparisons across LLM providers/models as required
  • Operate the platform in production: observability (logs/metrics/tracing), alerting, incident support, performance tuning, and cost controls, plus runbooks and handover documentation

• Mandatory Skills Description:

  8+ years of hands-on experience in Data Science and 5+ years in Machine Learning, with a proven track record, demonstrated through a robust portfolio of projects.
  Strong programming skills in languages such as Python and familiarity building ETL pipelines.
  Expertise in SQL and experience with both relational (preferably Postgres) and NoSQL databases (Open Search or Elastic Search)
  Familiarity with AWS cloud platform and its services.
  Experience with version control systems (e.g., Git) and CI/CD pipelines.
  Ability to build scalable infrastructure to embed and search very large number of documents.
  Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
  Expertise in ML inference optimizations
  Solid experience with Hybrid RAG, chunking/segmentation refinements, embedding/index update workflows, metadata filtering, caching, etc.
  Knowledge of network optimization for distributed ML training and inference.
  Understanding of distributed training patterns and checkpointing strategies.
  Strong English skills (B2 and higher)
  Strong verbal and written communication skills.
  Ability to work independently and collaborate in a group.

• Nice-to-Have Skills Description:

  Agile certification
  Oracle/Microsoft attestations and certifications
  Domain knowledge - Trading and Capital Markets

• Languages:
  • English: C1 Advanced

Ever looked at a funnel and immediately knew what needed to be changed to improve performance?

Not because a dashboard told you something was wrong - but because you understand how traffic, offers, landing pages, user behavior, and conversion data work together.

Do you enjoy testing new angles, replacing underperforming funnels, analyzing conversion drops, and making data-driven decisions that directly impact profitability?

Can you spot patterns inside Keitaro, identify bottlenecks, and quickly turn insights into actions for media buyers, copywriters, and designers?

If you thrive in fast-moving performance marketing environments where testing, optimization, and scaling happen every day - this role is for you.

About the Company

We are an international performance marketing company focused on building and scaling high-converting acquisition funnels across multiple markets and traffic sources.

Our business is driven by data, testing, and continuous optimization. We work with paid traffic, landing pages, advertorials, offers, creatives, and conversion funnels - constantly searching for opportunities to improve performance and maximize ROI.

We don't believe in "set it and forget it."

Every funnel can be improved. Every metric tells a story.  Every test creates an opportunity to scale.

The Role

We are looking for a CRO Specialist / Funnel Manager to take ownership of our funnel performance and optimization process.

You will sit at the intersection of data and creative execution, working closely with media buyers, copywriters, and designers to improve conversion rates and campaign profitability.

What You'll Do

Funnel & Traffic Management

• Set up, manage, and optimize funnels inside Keitaro or similar tracking platforms
• Manage landing pages, offers, redirects, postbacks, and traffic distribution
• Monitor funnel performance and optimize traffic flows based on results

Testing & Optimization

• Develop and execute A/B testing strategies
• Test headlines, landing pages, CTAs, advertorials, and funnel angles
• Analyze results, identify winning variations, and scale what works
• Quickly eliminate underperforming elements

Performance Analysis

• Monitor key metrics including CTR, CR, CPA, RPC, ROI, and funnel drop-off rates
• Identify trends, bottlenecks, and opportunities to improve conversion performance
• Turn performance data into clear optimization recommendations

Cross-Functional Collaboration

• Partner with media buyers to improve traffic quality, conversion rates, and campaign profitability
• Work closely with copywriters and designers to optimize messaging, creatives, and user journeys
• Help transform data insights into higher-converting funnels and acquisition assets

What You Bring

Must Have

• Experience working as a CRO Specialist, Funnel Manager, Performance Marketing Specialist, or similar role
• Hands-on experience with Keitaro (preferred), Voluum, Binom, or comparable tracking platforms
• Strong understanding of affiliate marketing, direct-response marketing, lead generation, or media buying environments
• Experience running and evaluating A/B tests
• Strong analytical skills with the ability to interpret data and make quick optimization decisions
• Understanding of conversion funnels, attribution, and tracking systems
• Ability to identify statistically meaningful trends and translate them into actions
• Comfortable working in a fast-paced, performance-driven environment

Nice to Have

• Basic HTML, CSS, or JavaScript skills for making landing page adjustments
• Experience with competitive intelligence and spy tools such as AdSpy, Anstrex, or similar platforms
• Experience working with high-volume paid traffic campaigns
• Familiarity with multiple traffic sources and acquisition channels

What You Get

• Direct Impact: Your decisions directly influence conversion rates, campaign profitability, and business growth.
• Performance-Focused Culture: Work in an environment built around testing, optimization, and measurable results - not unnecessary meetings and bureaucracy.
• Ownership & Autonomy: Take responsibility for funnel performance and have the freedom to implement ideas quickly.
• Continuous Learning: Collaborate with experienced media buyers, analysts, and creative teams while deepening your expertise in CRO, funnel optimization, and performance marketing.
• International Team: Join a global team working across multiple GEOs, traffic sources, and acquisition strategies.

Ready to Optimize What Others Miss?

If you enjoy finding bottlenecks, launching tests, analyzing user behavior, and turning funnel data into profitable growth —

👉 Apply now and help us build conversion systems that scale.

WHAT WE DO AT TOOLSENSE

ToolSense was founded in June 2017 by Alexander Manafi, Benjamin Petterle, and Rostyslav Yavorskyi with the vision to support maintenance, repair, and operation teams by digitizing asset processes, enabling automation & empowering smarter decisions.

Through unifying assets, people & processes in ToolSense, the lives of frontline workers become easier & asset-intensive industries become more efficient.

ToolSense has already won numerous international customers from the facility services & construction industry and renowned industry awards, such as the “Interclean Innovation Award” or the “Construction Equipment Forum Startup Award”. Furthermore, ToolSense recently raised an €8m Series A investment round led by PwC IIoT to double down on its strategy of digitising asset-intensive industries.

YOUR PROFILE

- 3+ years of experience in working as Business Analyst in software development for one of the big 10 outsourcing companies in Ukraine, preferably with exposure to international projects

- Bachelor or masters degree in Business Administration, Computer Science, Information Systems, or a related field.

- Familiarity with the IT and software development sector, particularly in the context of product development and implementation.

- Expertise in eliciting, analyzing, specifying, and validating business, user, and system requirements.

- Being hands on Experienced in working with stakeholders at all levels of the organization to gather requirements and deliver solutions that meet business needs.

- Ability to negotiate and build consensus among stakeholders.

- Familiarity with software development life cycles (SDLC) and the ability to work closely with development teams.

- Ability to adapt to changing business needs and technology landscapes.

- Keen interest in continuous learning and professional development in the field of business analysis and requirements engineering.

- Excellent English and great communication skills

WE OFFER

- Lots of freedom to implement your ideas

- A dynamic and innovative working environment with flat hierarchies

- Participation: Contribute your know-how and change the future of the manufacturing industry with us

- Very transparent, honest, and customer-centric culture

- A highly motivated, experienced, and cooperative team that will always support you

- Always keep moving forward: we offer you lots of internal and external training to improve

We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, success is defined by precision. 

In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Quantitative Analyst to become the mathematical backbone of our Trading Core and Risk Tech squads. In a high-frequency trading environment processing billions in volume, success is defined by precision. 

In this role, you will design, backtest, and optimize the core mathematical models that drive our pricing engines, automated market-making algorithms, risk management frameworks (A/B/C-book optimization), and liquidation mechanics. You will sit at the intersection of advanced mathematics, data science, and high-performance software engineering, working directly with Core Product Managers and engineering teams to turn complex financial data into proprietary algorithmic advantages.

Responsibilities

• Research, design, and prototype quantitative models for pricing, risk management, and market making
• Build and maintain robust backtesting frameworks to validate the performance and safety of models before production deployment
• Write clear, comprehensive mathematical and algorithmic specifications for Backend Engineers (Trading Core squads)
• Cross functional with the R&D and Trading Ops teams
• Conduct post-incident deep dives (e.g., after major market gaps or liquidations) to identify algorithm performance gaps and optimize them

Requirements

• 3+ years of experience as a Quantitative Analyst / Researcher in fintech
• Exceptional knowledge of probability theory, stochastic calculus, time-series analysis, and financial mathematics
• Advanced proficiency in Python (NumPy, Pandas, SciPy, SK-Learn, Statsmodels) for data analysis, modeling, and backtesting
• Experience with Machine Learning
• Deep understanding of market microstructure, order book dynamics, risk metrics (VaR, Expected Shortfall), and margin/liquidation mechanisms
• SQL skills and experience working with large-scale historical market data (tick data, order logs)
• Strong logical thinking, initiative, and well-developed communication skills

Will be a plus

• Experience in CFD, Crypto CEX, Prop Trading Firm, or Hedge Fund
• Degree (MSc or PhD preferred) in a highly quantitative field: Mathematics, Physics, Quantitative Finance, Statistics, or Computer Science
• Understanding of Asset pricing models (e.g., Black-Scholes, local volatility models, Greeks management)
• Knowledge of the MetaTrader platforms (MT4/MT5)
• Experience with AI (Claude.io, Copilot, Codex)

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

Overview
We are looking for a Machine Learning Engineer to design and implement intelligent systems that power personalized digital experiences across connected devices and mobile applications.

This is a hands-on role focused on applied machine learning and data engineering, ideal for someone who thrives at the intersection of ML models, data pipelines, and product integration. You will collaborate closely with backend engineers, data scientists, and product managers to bring ML-driven features into production and continuously optimize them based on real-world usage.

Responsibilities:

• Design, train, and deploy machine learning models for use cases such as personalization, recommendations, and visual analysis;
• Build and maintain scalable, production-grade data pipelines (batch and real-time);
• Collaborate with product and engineering teams to translate product ideas into ML-powered features;
• Implement model observability, monitoring, and retraining workflows;
• Optimize inference performance and model serving in resource-constrained environments (e.g., edge or mobile);
• Contribute to the architecture of a modern ML platform within a cloud-native microservices environment;
• Work with backend teams to expose model outputs via APIs and integrate them into customer-facing experiences;
• Stay up to date with recent ML/AI advancements and evaluate promising methods for future implementation.

Requirements:

• 3+ years of experience in applied machine learning or data science;
• Strong knowledge of:
  • Supervised learning, recommendation systems, or computer vision;
  • Python and ML libraries such as TensorFlow, PyTorch, scikit-learn;
  • Building, deploying, and maintaining ML models in production.
• Familiarity with:
  • MLOps tools (e.g., MLflow, TFX, Airflow, Vertex AI);
  • Data pipelines and messaging systems (e.g., Kafka, BigQuery, dbt);
  • Model serving frameworks (e.g., FastAPI, TensorFlow Serving, TorchServe, ONNX);
• Comfortable collaborating with product, engineering, and analytics teams;
• Experience with cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• Bonus: Experience with edge AI, mobile ML, or video/image processing pipelines.

N-iX is a software development service company that helps businesses across the globe develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in nine countries -  Poland, Romania, Ukraine, Bulgaria, Sweden, Malta, the UK, the US, and Colombia. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

We are looking for a Middle HRMS Configurator/People Analyst to join our HR CoE.
In this role, you’ll help shape and configure HR processes across the company, transforming the N-iXer lifecycle into a seamless, personalized experience.

Responsibilities:

• Gathering and analyzing current-state data and performance indicators to identify process gaps ahead of system implementation
• Brainstorming and redesigning HR processes: from document flows to performance reviews and self-service forms - every step of the N-iXer journey
• Configuring and replicating workflows and other HRMS components
• Validating and resolving configuration issues and errors
• Testing business scenarios and collecting UAT feedback
• Mapping and migrating legacy and current people data
• Supporting access setup and integration testing

Requirements:

• 2+ years of relevant experience with system configuration, people data analysis, process design and quality assurance
• Advanced user of Google Sheets/Excel, or similar analytical tools, with strong analytical skills and keen attention to detail
• Intermediate or higher level of English
• A proactive, reliable self-starter who thrives both independently and in collaborative settings
• Strong problem-solving skills with the ability to dig deep, stay curious, and persist until the issue is fully resolved

Nice to have:

• Experience in leading process transformation initiatives
• Hands-on involvement in implementing or configuring HRMS, ERP, CRM, or ATS platforms
• Interest or experience in creating communication plans and creating engaging content (videos, presentations, visuals)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers