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Machine Learning Engineer
  • Gdańsk
Machine Learning Engineer
Gdańsk, Gdańsk, Pomeranian Voivodeship, Polska
Develocraft sp. z o.o.
8. 10. 2025
Informacje o stanowisku

technologies-expected :


  • AWS
  • Docker
  • Kubernetes
  • Airflow
  • pandas
  • scikit-learn
  • TensorFlow
  • PyTorch
  • Git
  • SQL
  • Python

about-project :


  • UK automotive intelligence leader TekCor4 is expanding into Poland, bringing cutting-edge data, AI, and technology that are redefining how the automotive industry engages with its customers.
  • This is a rare chance to join a team at exactly the right moment, a time of heavy investment, real innovation, and a clear vision for the future.
  • The European aftersales automotive world has been slow to effectively utilize AI, and that’s precisely where this opportunity lies. Join us and help shape how a world-leading industry can use AI to adapt to the challenges ahead.
  • We’re looking for exceptional people who can think fast, build smarter processes as they go, and thrive in an environment where ideas turn into reality quickly. You’ll be joining a team that moves with pace, purpose, and a genuine sense of excitement about what’s next.
  • At Develocraft, we’re proud to be building TekCor4’s new team, the people who will lay the foundations for a global expansion. Together, we’re connecting technology, people, and ideas across markets to create something truly new.

responsibilities :


  • Design, build, and maintain end-to-end ML pipelines - from data ingestion and feature engineering to model training, deployment, and monitoring in production.
  • Manage the full lifecycle of ML models, including deployment on AWS, retraining automation, versioning, and A/B testing to ensure optimal performance.
  • Develop and maintain CI/CD pipelines for ML, integrating automated testing, containerization, and continuous delivery to streamline deployments.
  • Implement monitoring and observability frameworks for deployed models - track data drift, performance, and errors; build dashboards and alerts to ensure reliability.
  • Collaborate closely with data scientists, data engineers, and product teams to transform prototypes into scalable production solutions, incorporating domain expertise to improve accuracy and business impact.
  • Continuously monitor and improve models in production, retraining on new data, optimizing infrastructure, and enhancing system scalability, efficiency, and security.

requirements-expected :


  • Minimum 2 years of experience building, deploying, and maintaining machine learning models or other data-driven products in production.
  • Strong proficiency with AWS cloud services (EC2, S3, SageMaker, Lambda, etc.) and experience using them to scale ML solutions.
  • Proven experience with ML deployment pipelines and MLOps best practices, including CI/CD, infrastructure-as-code, and workflow orchestration (Docker, Kubernetes, Airflow). Familiarity with monitoring tools to ensure model and system reliability.
  • Solid Python skills, along with knowledge of common ML and data libraries (pandas, scikit-learn, TensorFlow, PyTorch). Understanding of software engineering fundamentals: version control (Git), testing, and code quality.
  • Good grasp of machine learning fundamentals and statistics, with the ability to debug models and optimize algorithms for performance. Experience with large-scale datasets (SQL/NoSQL databases or data warehouses) is a plus.
  • Strong communication and teamwork skills - able to collaborate with data scientists, engineers, and business stakeholders, and explain technical concepts clearly.
  • English level C1

offered :


  • Start date: ASAP (dont worry about your notice period)
  • Initially remote work, later hybrid work 1-2 times a week in the office in Gdańsk
  • Flexible working hours
  • Equipment provided

  • Praca Gdańsk
  • Gdańsk - Oferty pracy w okolicznych lokalizacjach


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