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, we're 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