Join to apply for the Senior Data/ML Engineer role at emagine
Hybrid role: 40% remote, 60% onsite
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).
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
IT Services and IT Consulting
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