Senior Data/ML Engineer

The project is in the banking industry and involves a hybrid work model with 3 days per week in Warsaw, Gdańsk, or Gdynia, Poland.

• Proficiency in Python and 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.

• Manage the lifecycle of machine learning models from development to deployment and monitoring.
• Implement MLOps principles for streamlined machine learning operations.
• Work with Spark and 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.