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Senior Data / ML Engineer Miejsce pracy: Gdańsk Technologies we use Expected Python Apache Spark AWS SQL Git Optional TensorFlow PyTorch About the project We are looking for an experienced Senior Data/ML Engineer to drive the development, deployment, and optimization of large-scale Machine Learning and Big Data solutions. You will work end-to-end across the ML lifecycle, build distributed data pipelines, and shape our MLOps best practices within a modern AWS environment. Hybrid: Trójmiasto / Łódź / Warsaw | Python - Spark - AWS - MLOps | Full-time Your responsibilities Own the full lifecycle of ML models – from development and deployment to monitoring and continuous improvements. Implement MLOps principles, including CI/CD, automation, testing, and observability for ML workloads. Build and maintain data ingestion, processing, and transformation pipelines (batch & streaming) using Python and Apache Spark. Design and optimize distributed, highly parallel Big Data pipelines processing massive datasets in near real-time. Use Spark to enrich and prepare corporate data for search, analytics, and advanced ML use cases. Closely collaborate with Data Scientists, DevOps Engineers, and IT teams to deliver production-grade ML solutions. Work with analysts and business stakeholders to develop and refine analytical models. Enhance and extend the organization’s MLOps frameworks and libraries, ensuring scalability across multiple ML use cases. Explore and evaluate cloud-native AI/ML solutions on AWS. Our requirements 5 years of hands-on experience with Python and Apache Spark. Strong experience with AWS services, especially S3, Glue, SageMaker, Lambda, Step Functions / Airflow / MWAA. Practical knowledge of AWS automation using AWS CLI, boto3, IAM roles. Solid understanding of algorithms, data structures, statistics, and linear algebra. Experience with training and deploying ML models using TensorFlow or PyTorch. Understanding of distributed systems and Big Data technologies (Hadoop, Hive, or equivalents). Proficiency in SQL (Spark SQL / Hive SQL) and experience building production-grade data pipelines. Strong Git skills (Bitbucket, branching workflows, code review). Experience working in Agile/SAFe environments. Optional Experience with ML models such as propensity modeling, CLV, micro-segmentation, recommendation engines. Experience supporting business teams during model development and deployment processes. This is how we organize our work This is how we work at the clients site you have influence on the product agile scrum Benefits sharing the costs of sports activities private medical care Recruitment stages Rozmowa z rekruterem Rozmowa z klientem B2B.NET S.A. B2Bnetwork jest polską firmą, specjalizującą się w obszarze Quality Assurance oraz Outsourcingu specjalistów IT. Od 2015r. zarządzamy w całości procesami testowymi u naszych klientów oraz wspieramy w znalezieniu odpowiednich kompetencji w innych obszarach IT. Aplikując, wyraża Pani/Pan zgodę na przetwarzanie przez B2BNetwork swoich danych osobowych zawartych w niniejszym kwestionariuszu aplikacyjnym i aplikacji na potrzeby rekrutacji. Jednocześnie oświadczasz, że podanie przez Panią/Pana danych wykraczających poza katalog określony w Kodeksie pracy i innych właściwych ustaw jest dobrowolne i dla Pani/Pana korzystne.

Gdańsk - Oferty pracy w okolicznych lokalizacjach