Machine Learning Engineer

1 tydzień temu

Warszawa, Polska Team Connect Sp. z o.o Pełny etat

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 #J-18808-Ljbffr

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