Jobs Python

🔹 Middle Python Developer (Backend)

This is a great opportunity to work with a stable team, contribute directly to product development, and grow professionally while working with modern technologies.

🔧 Responsibilities:

• Develop and maintain backend logic for web applications
• Design, build, and integrate RESTful APIs
• Work with PostgreSQL databases
• Ensure correct processing of static and media files using WhiteNoise
• Implement image manipulation tasks with Pillow
• Write clean, maintainable, and testable code
• Participate in code reviews, refactoring, and optimization

• Collaborate closely with frontend developers, QA, and other team members

   

✅ Requirements:

• 3+ years of commercial experience in software development
• Strong knowledge of Python and Django framework
• Practical experience with PostgreSQL and Docker Compose
• Familiarity with Pillow (image processing) and WhiteNoise (static file serving)
• Solid understanding of software development best practices

• English level B1+ (Intermediate) — ability to communicate within the team and work with technical documentation

   

✨ We Offer:

• Long-term cooperation with a stable product team
• Flexible work schedule and remote work opportunities
• Supportive and open-minded team culture

• Modern technology stack and well-defined processes

   

🛠 Recruitment Process:

1. Recruiter Interview
2. Test Task
3. Technical Interview
4. Offer

We are seeking a Senior Backend Developer who combines strong technical expertise with sharp business understanding and leadership potential. The ideal candidate is not only an excellent Python/Django developer, but also a fast learner who can quickly grasp complex business domains, such as mortgage and financial workflows, and translate them into robust, scalable software solutions. This role is perfect for someone who thrives in dynamic environments, communicates effectively across teams, and takes ownership of projects from concept to delivery.

Job requirements

Key Responsibilities:

• Lead technical delivery by collaborating with product managers and business stakeholders, converting business goals into detailed, executable backend solutions;
• Design and implement scalable backend systems and APIs using Python and Django;
• Architect and maintain PostgreSQL data models, including schema design and migrations;
• Build and optimize ETL processes and workflows to support financial operations;
• Ensure data quality and compliance standards are met in all integrations and system interactions;
• Participate in sprint ceremonies, architectural planning, and technical discussions;
• Monitor system performance, identify bottlenecks, and implement optimizations.

Requirements:

• 5+ years of hands-on backend development experience with Python and Django;
• Strong experience designing and delivering APIs in production systems;
• Solid understanding of PostgreSQL (schema design, migrations, optimization);
• Proven experience with ETL processes, data workflows, and integration of external systems;
• Strong knowledge of object-oriented programming and software design principles;
• Familiarity with Agile/Scrum methodologies and iterative delivery;
• Ability to work independently while also mentoring and supporting other developers;
• Excellent communication and problem-solving skills, with the ability to quickly grasp complex business domains.

Nice to Have:

• Experience working in the financial services domain;
• Experience with Loan Origination System (LOS), specifically ICE Mortgage Technology Encompass.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

ML learning and Computer Vision company is looking for a Embedded Developer to join our team.

Requirements:

Strong knowledge of circuitry and the base of electronic components

Knowledge of microcontrollers

Familiarity with single board computers (Nvidia Jetson/Raspberry Pi), hardware interfaces

Understanding of embedded communication protocols

Soldering and hands-on experience with electronics

Installation skills, including SMD elements

Understanding of power circuits and ability to work with them

Diagnostic skills, ability to find the hardware problem and troubleshoot it

Essential knowledge of Python and Linux system administration, to be able to deploy software and provide technical support

Ability to read technical documentation and communicate with the team

Knowledge of industrial safety standards.

A bit about DeepX

DeepX is an R&D intensive and innovation - driven consortium that provides.

Artificial intelligence-powered Computer Vision solutions for businesses.

Please take a look to find out more about us

https://deepxhub.com/

Core Responsibilities

• Design and implement batch and streaming data pipelines using Apache Spark.
• Build and evolve a scalable AWS-based data lake architecture.
• Develop and maintain real-time data processing systems (event-driven pipelines).
• Own performance tuning and cost optimization of Spark workloads.
• Define best practices for data modeling, partitioning, and schema evolution.
• Implement monitoring, observability, and data quality controls.
• Contribute to infrastructure automation and CI/CD for data workflows.
• Participate in architectural decisions and mentor other engineers.

Required Qualifications

Experience

• 3+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark (including Structured Streaming).
• Experience building both batch and streaming pipelines in production environments.
• Proven experience designing AWS-based data lake architectures (S3, EMR, Glue, Athena).

Streaming & Event-Driven Systems

• Experience with event streaming platforms such as Apache Kafka or Amazon Kinesis.

Data Architecture & Modeling

• Experience implementing lakehouse formats such as Delta Lake.
• Strong understanding of partitioning strategies and schema evolution.

Performance & Reliability

• Experience using SparkUI and AWS CloudWatch for profiling and optimization.
• Strong understanding of Spark performance tuning (shuffle, skew, memory, partitioning).
• Proven track record of cost optimization in AWS environments.

DevOps & Platform Engineering

• Experience with Docker and CI/CD pipelines.
• Experience with Infrastructure as Code (Terraform, AWS CDK, or similar).
• Familiarity with monitoring and observability practices.

Nice to Have

• Experience in the Financial domain.
• Experience running Spark workloads on Kubernetes.
• Experience implementing data quality frameworks or metadata/lineage systems.

We build internal products and automation for our own teams to improve day-to-day business processes. Most tasks revolve around processing large datasets (millions of rows) and turning them into reliable, reusable outputs.

You'll work 50/50 between Python development and data work: building scripts/services and data pipelines, mainly with Pandas, plus some SQL and PySpark.

    What You'll Do

• Build internal tools and automation around data processing and reporting.
• Develop and maintain pipelines that ingest data from APIs and large files.
• Transform and validate data using Pandas; write clean, tested, maintainable Python.
• Use SQL mainly to extract data and for joins/aggregations when needed.
• Contribute to large-scale processing (PySpark/Spark) when applicable.

• Refactor and optimize existing scripts and pipelines; improve performance, readability, and reliability (tests/logging).

   

    What We're Looking For

• 2+ years of experience with Python in production.
• Strong Pandas: efficient transformations, joins/merges, memory/performance considerations.
• Solid engineering habits: tests, code review, debugging, and readable code.
• Working knowledge of SQL (MS SQL Server is our primary DB, but any RDBMS is fine).
• Comfortable with Linux and Git; daily tooling skills (e.g., VS Code).
• Excellent organizational and task management abilities.
• Self-motivated with the ability to work independently.
• Good written and spoken English communication skills.

    Nice to Have

• PySpark/Spark and/or Hadoop exposure; distributed processing concepts.
• Azure experience (storage/compute) or participation in on-prem → cloud initiatives; workflow orchestration is a plus.
• Data modeling fundamentals and basic ML understanding; а portfolio (GitHub/website) or examples of end-to-end projects/products (clean repo structure, README, tests) is a plus.

About us

Syndicode is a value-driven software development partner with a globally distributed team of engineers, designers, architects and IT managers. We are united by the mission to provide our clients with software products and services that perform, look, and work as designed. 

We believe that our people and culture make Syndicode’s success continuous. Our team is unified by shared principles like: Accountability, Involvement, Excellence, Visibility, Integrity, Innovation, Win-Win, Flexibility. Syndicoders are professionals who pursue self-improvement through continual learning, are eager to introduce improvements to work processes, and are able to analyze a variety of sources to make sound and timely decisions.

If it sounds like you, apply to our jobs and become a new Syndicoder!

 
About the project

Our team is building an internal tool for a major construction company to help their teams design and evaluate complex layouts while accounting for real-world constraints. The product combines robust engineering logic with an interactive 3D view in the browser, making it easier for users to explore design options and estimate key building parameters, including costs. In this role, you’ll work on the mathematical core of the system—refining existing models and developing new algorithms that make the application faster, smarter, and more accurate.

 

What you’ll be doing
 

• Experience: At least 3 years of professional experience in mathematical modeling, algorithm development, or optimization-focused software engineering.
• Mathematical Expertise: Strong foundation in areas such as numerical analysis, linear algebra, calculus, statistics, probability, optimization, and related mathematical disciplines.
• Python: Minimum of 2 years of experience, with expertise in object-oriented programming, data structures, algorithms, and performance optimization.
• Computational geometry for coordinating transformations, polygon operations, or spatial reasoning.
• Analytical Thinking: Strong problem-solving skills with the ability to break down complex challenges into actionable components.
• Attention to Detail: High level of accuracy and precision in developing and validating mathematical models and code.
• Communication: Ability to clearly explain complex mathematical and technical concepts to both technical and non-technical audiences.

• Education: Bachelor’s, Master’s, or Ph.D. in Mathematics, Computer Science, Engineering, or a related quantitative field.
  
  Nice to have
   

  • FastAPI (or similar frameworks): Experience building RESTful APIs and exposing mathematical models and algorithms as scalable web services.
  • AWS: Familiarity with cloud infrastructure services for deployment, scalability, and management of computational resources in production environments.
     
     

  What you'll be doing
   

• Mathematical Model Development: Design, develop, and implement mathematical models and algorithms to solve complex problems in engineering, data analysis, optimization, and related domains.
• Python Software Development: Translate mathematical models and algorithms into high-performance, reliable, and efficient Python code. Ensure clean architecture, solid coding practices, and optimal performance.
• Collaboration: Work closely with cross-functional teams—including developers and domain experts—to understand requirements, troubleshoot issues, and deliver integrated solutions.
• Testing and Validation: Perform rigorous testing and validation of mathematical models and their Python implementations to ensure accuracy, reliability, and efficiency.
• Documentation: Create clear, thorough documentation for models, algorithms, and code implementations.
   

What you’ll get at Syndicode
 

• Fully remote job
• Continuous feedback within teams and departments
• Top-notch team 
• Ability to participate in decision-making and bring new ideas
• Self-management: opportunity to manage your time and plan your activities
• Dynamic fast-growing environment: we react and adapt quickly to the world’s and market changes.

Senior Backend Engineer (AI Engineer)

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries. 

About the Product: 
Zenity is the first security governance platform built specifically for AI Copilots, Low-Code/No-Code applications, and business-led development. Enterprises today create thousands of automations, workflows, copilots, and integrations outside traditional R&D—introducing new, fast-moving security risks. Zenity provides organizations with:

• Real-time detection of misconfigurations, unsafe data flows, and policy violations
• Centralized visibility across hundreds of business-driven apps and automations
• Security guardrails for GenAI and LLM-powered tools
• Prioritized vulnerability reports and guided remediation

About the Role: 
Zenity is hiring a Senior Backend Engineer to help drive the evolution of its security platform for AI and Low-Code ecosystems. This role is ideal for engineers who enjoy building large-scale, cloud-based systems with real enterprise impact.

You will work in a dynamic, Agile environment, contributing to the continuous development, scaling, and improvement of the platform.

Engineering Culture

At Zenity, we work with an AI-first mindset. Our engineering teams actively leverage AI throughout the entire development lifecycle — from ideation and design to implementation and production.

If AI-assisted development is already embedded in your workflow and influences how you approach engineering challenges, this role was built for you.

Key Responsibilities: 

• Design and build backend services powering security governance for GenAI, Copilots, and Low-Code platforms
• Deliver end-to-end product features used by enterprise customers at scale
• Develop detection logic, data flows, and validation layers for complex workflows and automations
• Work with distributed systems, microservices, and cloud-native components
• Build and optimize SQL schema, queries, data models, and near-real-time processing pipelines
• Leverage AI tools (Copilot, Cursor, Claude Code, etc.) extensively as a regular and consistent part of the day-to-day development workflow: to accelerate design, implementation, refactoring, and debugging
• Participate in design reviews, collaborate closely with product and security teams, and contribute thoughtful technical decisions
• Implement security-focused backend solutions that help enterprises adopt AI responsibly

Required Competence and Skills:

 

• 7+ years of experience in backend software development (Python, Java, Kotlin, C#, Go, Node.js, Scala) with proven delivery of production features, working on core product systems with real user impact
• Strong SQL fundamentals; hands-on experience with PostgreSQL/MySQL plus familiarity with MongoDB or DynamoDB
• Experience building distributed systems or microservices, including observability and CI/CD automation
• Experience working with AI agents or copilots (e.g. GitHub Copilot, Cursor, Claude Code, or similar) as part of your daily development workflow
• Understanding of AI-first development principles, such as prompt/context engineering, human-in-the-loop workflows, and validation of AI-generated code
• Solid cloud background (AWS preferred) and hands-on work with Docker and container-based deployments
• Experience contributing to high-scale or customer-facing products
• Experience designing ETL/ELT pipelines or large-scale data systems
• Strong communication skills in English, plus experience collaborating with distributed teams
• Ownership mindset and the ability to take a feature from design to production

Nice to have:

• Background in data engineering, streaming, or maintaining near real-time data pipelines
• Hands-on with Kubernetes
• Experience with workflow orchestration (Temporal, Cadence, or similar)
• Ability to work across multiple languages (Python + Go or Node.js)

Why Us?

We provide 20 days of vacation leave per calendar year (plus official national holidays of the country you are based in).

We provide full accounting and legal support in all countries in which we operate.

We utilize a fully remote work model with a powerful workstation and co-working space in case you need it.

We offer a highly competitive package with yearly performance and compensation reviews.

We are looking for an enthusiastic and proactive Intern Python Developer to join our dynamic team!

This is a fantastic opportunity to start your career in software development and gain hands-on experience working with modern technologies in a collaborative and supportive environment. If you complete the internship successfully, you will have the chance to continue your journey with our team for at least 1 year.

For this internship, you need to have:

— Good knowledge of Python programming language;
— Understanding of basic software development concepts such as data structures, algorithms, object-oriented programming, and async programming;
— Knowledge of Django;
— Familiarity with version control systems, preferably Git;
— Familiarity with Linux systems;
— Familiarity with SQL and NoSQL Databases;
— Upper-Intermediate English level.

Would Be a Plus:

— Familiarity with ML, LLM, and RAG;
— Passionate about AI;
— Some experience in pet projects.

Our selection process includes:

— HR interview;
— Tech interview;
— Final interview with the founders of the company.

We offer:

— Internship schedule: Monday to Friday, 10.00–19.00
— Office-based / remote work;
— No time trackers or other bureaucratic measures;
— Practical experience on internal projects;
— Networking with experienced professionals willing to share their knowledge and experience;
— Opportunity to obtain a contract with HYS Enterprise as a Junior specialist.
— Gifts for birthdays and professional holidays;
— Interaction with experienced professionals willing to share their knowledge;
— Participation in internal and external events.

Recruitment stages: HR interview, Tech interview, Final interview, Offer.

🚀 We’re looking for an Automation Engineer to join an innovative engineering environment working on advanced testing and automation solutions across multiple industries.
 

About the role

In this role, you will support both test cell revamp projects and new test bench development, ensuring systems meet modern automation standards and best practices. You will design, implement, and optimize control systems for testing equipment using industrial automation platforms such as PLC controllers and SCADA systems to simulate and control mechanical systems and their behavior.

Working closely with project leaders and test engineers, you will contribute expertise in automation, system optimization, and verification of test setups. Based on test results and analysis, you will help refine control models and strategies while supporting continuous improvement of testing processes.
 

Key responsibilities
• Assist in designing, implementing, and testing control systems for test benches and testing equipment using industrial automation platforms (e.g., PLCs and SCADA systems)
• Support test cell upgrades and new test bench installations by implementing automation solutions and performing system checks
• Participate in optimizing test processes by adjusting models, parameters, and control strategies based on test results
• Collaborate with test engineers and project teams to troubleshoot issues and ensure proper operation of test setups
• Apply automation standards and best practices to maintain consistency and quality across projects
• Document test setups, modifications, and lessons learned to support knowledge sharing and future improvements
 

What we’re looking for
• Master’s or PhD in industrial, electrical, mechanical, or software engineering
• Ideally 2–5 years of experience (recent graduates with strong internships are also welcome)
• Solid experience in automation and control systems, including PLC programming
• Familiarity with industrial automation platforms (e.g., Beckhoff, Siemens, Rockwell) and SCADA systems is a plus
• Experience with industrial communication networks such as EtherCAT, PROFINET, or Modbus TCP/IP
• Strong programming skills, particularly in Python or similar scripting languages
• Experience with system or process control development in test labs, R&D, or industrial environments
• Strong collaboration, communication, and analytical skills with a proactive mindset

N-iX is looking for a Senior Backend Engineer who thrives in building scalable, cloud-native systems. You’ll bring deep Python expertise, strong software design principles, and a solid background in distributed system patterns. This role demands hands-on experience with event-driven architectures and cloud-native AWS services. You’ll help shape critical backend services and infrastructure that are the foundation for our platform.

Responsibilities:

• Design and build scalable backend systems using Python and cloud-native architectures
• Apply object-oriented principles to develop maintainable and modular code
• Architect and implement distributed systems with high availability and fault tolerance
• Build and operate event-driven architectures using tools like Amazon SNS, SQS, EventBridge, and Step Functions
• Leverage AWS-managed services (e.g., Lambda, DynamoDB, S3, API Gateway) to deliver reliable and cost-effective solutions
• Participate in architectural design discussions and influence technical direction
• Write clean, testable code and provide thoughtful code reviews
• Collaborate with cross-functional teams to define requirements and deliver solutions that scale

Requirements:

• Strong Python skills, with a deep understanding of object-oriented software design
• Experience designing and operating event-driven architectures in production
• Proficient with AWS cloud-native services, including Lambda, DynamoDB, S3, API Gateway, EventBridge, and Step Functions
• Deep understanding of distributed systems, including data consistency, messaging patterns, and failure handling
• A collaborative mindset—you enjoy working closely with others, value team success over individual heroics, and help create an inclusive environment
• Proactive and curious—you take initiative to explore, solve problems, and continuously learn
• A natural mentor and team builder—you care about helping those around you grow
• Familiarity with Infrastructure-as-Code tools like Terraform or CloudFormation
• Strong communication skills, with the ability to clearly explain ideas and technical details

Amplifier AI is building a next-generation surgical planning platform - powered by our own imaging, segmentation, and 3D measurement engine.

We are a focused team of engineers, radiologists, and data scientists from Ukraine and across Europe. We care about precision, reproducibility, and building tools that genuinely help doctors plan safer surgeries.

If you enjoy clean Python, 3D geometry, and solving real-world imaging problems - keep reading.

Why Amplifier

Real impact

Your work directly influences clinical decisions and patient outcomes.

Deep technical domain

Medical imaging is one of the most intellectually demanding areas in applied software engineering. You’ll work at the intersection of geometry, physics, and clinical reality.

Growth

Competitive salary, optional stock options, and a clear path toward senior-level ownership.

Engineering culture

Small team. Thoughtful discussions. Strict typing. Strong code reviews. No corporate theater.

How We Work

• Fully remote, with EU time overlap
• Communication in English / Ukrainian
• Ownership over micromanagement
• Code reviews are deep and technical (we care about correctness, not ego)

We move fast - but with engineering discipline.

Hospitals and real clinical data sometimes change priorities.

When that happens, we adjust together as a team.

This is not an enterprise environment with fixed roadmaps and perfectly predefined tickets.

It’s a product used in real surgeries - responsibility matters.

This Role Is Probably Not For You If

• You prefer fully predefined tasks with minimal ambiguity.
• You optimize mainly for comfort and predictability.
• You’re looking for a low-pressure role to focus on side projects.
• You want to “just implement tickets” rather than understand the domain.

We’re building production software used in hospitals.

Quality and ownership are part of the job.

What You’ll Work On

You’ll join the team developing our internal Python engine that powers 3D reconstruction and measurement logic for CT-based workflows.

Your responsibilities will include:

SimpleITK & DICOM

• Reading DICOM series correctly
• Validating RAS origins and directions
• Resampling safely
• Maintaining voxel ↔ physical transforms

VTK & Geometry

• Surface generation from labels
• Distance, intersection, and clipping algorithms
• Exporting reliable STL markers and geometry artifacts

Measurement & QA Logic

• Building robust procedural tools for radiologists
• Handling edge cases in real hospital data

Pipeline Reliability

• Performance tuning
• Structured logging
• Making sure pipelines survive messy real-world datasets

You will own features end-to-end:

from understanding the problem to validating on real data.
 

Our Stack

Core:

• Python 3.13+
• SimpleITK
• VTK
• NumPy / SciPy
• Pydantic

ML:

• PyTorch
• nnU-Net (segmentation experiments)

Tooling:

• pytest
• mypy (strict)
• ruff
• pre-commit
• Docker
• GitHub Actions
• Git LFS
• Sentry

We write clean, typed code.

Reproducibility is mandatory.

We prefer clarity over cleverness.

What We’re Looking For

We’re not hiring by title.

We’re hiring engineers who think clearly and care about correctness.

You’ll thrive here if you:

• Write clean, modular Python code
• Understand 3D medical image fundamentals (origin, spacing, direction)
• Know the difference between voxel space and physical space
• Enjoy debugging complex geometric edge cases
• Can explain your reasoning clearly

Experience with SimpleITK, VTK, or PyTorch is a strong plus.

If you haven’t used them before, you must be comfortable diving deep and learning independently.

We mentor - but initiative is expected.
 

Nice to Have

• VTK surface/volume rendering experience
• ML segmentation metrics (Dice, Hausdorff, nnU-Net)
• Interest in GPU acceleration and large-volume performance

Example Challenges

• Build a robust distance-measurement tool between anatomical segmentations with exportable nearest-point markers.
• Extract centerlines and anatomical landmarks from noisy CT scans.
• Enforce consistent spacing/origin/direction across multi-scanner datasets.

If these sound exciting rather than overwhelming - you’ll likely enjoy this role.

What You’ll Gain

• Deep expertise in medical imaging geometry
• Exposure to production-grade clinical data
• Mentorship in system design and performance optimization
• Opportunity to grow technical lead responsibilities over time

We invest in engineers who invest in the product.

How to Apply

Send us:

• Your CV or LinkedIn
• Your GitHub or portfolio (we value real code)
• A short note answering:

A Note from Us

We are Ukrainian engineers building software that blends science and purpose.

We don’t build hype.

We build tools that work in real clinical environments.

If you’re curious, precise, and ready to take ownership - we’d love to talk.

Our mission is to make learning technology accessible, easy and fun for users across the world! We are creating next-generation education platform for learning software development and intent to become a leading player in that market.

Are you interested in participating in the development of a platform that will be used by millions of users around the world? Do you want to help thousands of people enter the world of programming, data analysis, machine learning? Do you want to work in a team where your opinions and ideas really matter? If your answer to all the questions is yes, it's a match!
Currently we’re looking for a full-time Course Creator!

Responsibilities:

- Designing and creating various types of educational materials
- Monitoring the latest technological developments to quickly create new and, most importantly, relevant materials
- Collecting and analyzing feedback on developed materials
- Proposing and managing innovative ideas to improve not only the content team's performance but also the entire project
- In addition to the mandatory duties, there is the opportunity to engage in additional areas to some extent—like analytics, delve into content for social networks, or work on animations for courses, etc.

Requirements:

- Passion for educating others (experience as a tutor or teaching assistant is a plus)
- It is very important to have a main profile in a technical discipline - mathematics, computer science, or other related fields
- Academic background in mathematics, computer science, or other related fields. We are open to candidates with unfinished degrees (currently in progress)
- Video editing skills are also valued as the platform is moving towards a video format
- Creativity, artistic perspective
- Strong analytical and critical thinking
- English upper intermediate or higher;
- Ability to explain complex concepts in simple language;
- Thorough attention to detail.

What do we offer:

- Work within an ambitious team on a socially impactful education product.

- 20 working days of paid vacation per year, plus public holidays.

- An office with a reliable shelter, generators, satellite internet, and other amenities.

- Access to our corporate knowledge base and professional communities.

- Compensation for English language learning, external training, and courses.

- Medical insurance and full sick leave compensation.

- Company doctor and massage in the office.

- Sports activities: running, yoga, boxing, and more.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Employment Type: Part-Time (Hourly)

Experience:
1–3+ years of hands-on experience in web scraping, automation, or data extraction projects.

Role Overview:
We are looking for a Web Scraping Developer who can design and maintain reliable data extraction systems across complex websites and social platforms. The role involves building scalable scraping pipelines, handling anti-bot protections, and integrating modern AI-assisted development tools.

This is a part-time, hourly position suited for a strong junior or middle developer who is comfortable working independently and solving real-world scraping challenges.

Key Responsibilities:

• Develop and maintain web scraping and web crawling systems for extracting structured data from websites and online platforms.
• Handle complex scraping scenarios, including dynamically rendered pages, pagination, APIs, and large-scale data collection.
• Work with proxy networks, rotating IPs, and anti-bot protection mechanisms.
• Build scraping logic that can operate reliably across different site structures and layouts.
• Use AI-assisted development tools to accelerate development and debugging.
• Collaborate on improving scraping accuracy, stability, and performance.

Required Skills:

• Practical experience with web scraping and web crawling
• Experience working with dynamic websites (JavaScript-heavy pages)
• Understanding of HTTP requests, cookies, headers, and sessions
• Experience working with proxies and IP rotation
• Ability to analyze website structures and build resilient scrapers
• Comfortable using AI development tools such as:
  • Cursor
  • Claude Code
  • Other AI-assisted coding tools

Nice to Have:

• Experience scraping social media platforms
• Knowledge of anti-bot bypass techniques
• Familiarity with automation frameworks or headless browsers
• Experience building large-scale scraping pipelines

Work Format:

• Part-time
• Hourly payment
• Remote