Senior Data/ML Engineer

Project information:

• Industry: banking

• Rate: up to 170 zł/h net + VAT

• Location: Gdańsk, Gdynia, Warsaw, or Łódź

• Hybrid role: 40% remote, 60% onsite

Summary: The primary objective of the Senior Data/ML Engineer role is to oversee the complete lifecycle of machine learning models and enhance MLOps practices to deliver high-quality machine learning solutions. This includes development, deployment, and monitoring to ensure optimal performance and reliability within the organization.

Main Responsibilities:

• Manage the lifecycle of machine learning models from development to deployment and monitoring.

• Implement MLOps principles, including continuous integration, continuous delivery, testing, and monitoring.

• Work with Spark & Python to maintain data ingestions and transformations, handling real-time and batch data processing.

• Build distributed and highly parallelized big data processing pipelines for massive data in near real-time.

• Leverage Spark for data enrichment and transformation to enable advanced analytics.

• Collaborate with cross-functional teams to deliver machine learning solutions.

• Develop analytics models in partnership with analysts and stakeholders.

• Optimize MLOps practices and explore cloud solutions in AI/ML areas.

Key Requirements:

• Minimum 5 years proficiency in Python & Spark.

• Hands-on experience with AWS services (S3, Glue, SageMaker, Lambda).

• Practical understanding of AWS Infrastructure and automation using 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).

• Proficient in SQL (Spark/Hive SQL).

• Experience with code versioning tools (BitBucket, GIT).

• Familiar with Agile/Safe framework.

Nice to Have:

• Design and implementation of ML Models (e.g., Propensity, Customer Lifetime Value).