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)

Summary

The 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 Responsibilities

As 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.