Senior Data/ML Engineer

PROJECT INFORMATION: • Industry: Banking • Work model: 3/week in Warsaw, Gdańsk or Gdynia • Remuneration: up to 170 PLN/h netto + VAT (B2B) SummaryThe Senior Data/ML Engineer will manage the lifecycle of machine learning models, focusing on their development, deployment, and monitoring to ensure optimal performance and reliability. Main ResponsibilitiesAs a Senior Data/ML Engineer, you will: • Manage the lifecycle of machine learning models from development to deployment and monitoring. • Implement MLOps principles for streamlined machine learning operations. • Work with Spark & Python for data ingestion and transformation, handling real-time and batch data processing. • Build distributed and parallelized big data processing pipelines. • Leverage Spark for data enrichment and transformation for analytics. • Collaborate with teams including data scientists, DevOps engineers, and IT. • Develop analytics models in partnership with analysts and business stakeholders. • Optimize MLOps practices and libraries for various use cases. • Explore cloud solutions for AI/ML applications. Key Requirements• Proficiency in Python & Spark (minimum 5 years). • Hands-on AWS experience in machine learning and data processing (S3, Glue, SageMaker, Lambda, StepFunctions/Airflow/MWAA). • Knowledge of AWS infrastructure setup and automation with AWS CLI, boto3, and IAM roles. • Understanding of algorithms, data structures, statistics, and linear algebra. • Experience with machine learning frameworks (TensorFlow or PyTorch). • Solid understanding of distributed systems (Hadoop/Hive ecosystem/Big Data Technologies). • Proficient in SQL (Spark/Hive SQL). • Experience with BitBucket and GIT. • Familiarity with the Agile/Safe framework. Nice to Have• Experience in designing and implementing ML models (e.g., Propensity, Customer Lifetime Value). • Experience in helping use case teams with training and deployments.