Team Connect is Poland’s leading nearshore and offshore IT provider. Since 2008 we successfully create and develop software for our clients.

We specialize in Agile and DevOps-based software development – from the analysis stage through implementation. We develop backend, frontend, and mobile applications.

Currently, were looking for:

Machine Learning Engineer

Location:

remote

Your tasks:

• Designing, developing, and implementing machine learning models and systems
• Performing data analysis, statistics, data mining, and Big Data processing
• Writing clean, efficient Python code using data-science libraries such as pandas and scikit-learn
• Utilizing mainstream ML libraries (TensorFlow, PyTorch, Scikit-Learn, PySpark, etc.)
• Working with SQL and relational databases (ideally Snowflake)
• Building and maintaining CI/CD pipelines and applying software engineering best practices
• Collaborating with team members using version control tools (Git)
• Summarizing and presenting analytical results to business and product stakeholders

Requirements:

• Degree in Computer Science or related field (Data Science, Big Data, Mathematics, Physics, etc.)
• At least 2 years of proven industry experience in machine learning projects
• Strong programming skills in Python and data-science libraries (pandas, scikit-learn)
• Working knowledge of SQL and relational databases
• Expert knowledge in data analysis, statistics, machine learning, or Big Data processing
• Experience with mainstream ML libraries (TensorFlow/PyTorch, Scikit-Learn, PySpark)
• Familiarity with data structures, CI/CD pipelines, software engineering principles, and code testing
• Experience in collaborative work using Git

Nice to have:

• 5+ years of industry experience in designing and implementing ML systems
• Experience in advertising, recommendation systems, or real-time bidding (RTB) ecosystems
• Experience leading a team of developers
• Familiarity with AWS tools (Airflow, SageMaker), Snowflake, Redis, Aerospike, ETL, or big data tools (PySpark/Snowpark, Docker, Kubernetes)
• Experience deploying ML models into production
• Knowledge of Infrastructure as Code (Terraform), orchestration tools (Airflow), building CI/CD pipelines with GitHub Actions, and monitoring tools (Prometheus, Grafana)

We offer:

• Long-term cooperation
• Benefits package – Multisport card, medical care & life insurance
• Training budget
• Assistance in accounting issues when setting up/running a business
• Free English lessons
• Individual support from a dedicated company supervisor