onsite
Data & AI/ML Engineer - EWERK
ML Engineer
Data & AI/ML Engineer responsible for designing, building, and deploying scalable machine learning pipelines and data solutions using Python, PySpark, and AWS services.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end machine learning pipelines from data ingestion to model deployment.
- Implement data engineering solutions using PySpark, SQL, and AWS data services (S3, Redshift, Glue).
- Collaborate with data scientists to translate research prototypes into production‑ready models.
- Ensure model performance, monitoring, and retraining workflows are automated and scalable.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong programming skills in Python and experience with ML libraries (scikit‑learn, TensorFlow, PyTorch).
- Proven background in data engineering, ETL, and big data processing (PySpark, SQL).
- Hands‑on experience with AWS services (S3, Redshift, SageMaker, Glue).
- Familiarity with containerization (Docker) and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningawssqldocker