onsite
Senior Consultant - Machine Learning Engineering - Mercedes-Benz Group AG
ML Engineer
Lead end‑to‑end ML projects, designing scalable pipelines, training models, and deploying solutions on AWS. Drive innovation in predictive analytics and AI product development for automotive applications.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines using Python, TensorFlow, and PyTorch.
- Design scalable data ingestion and feature engineering workflows on AWS services (S3, Glue, SageMaker).
- Collaborate with cross‑functional teams to translate business requirements into ML solutions.
- Deploy, monitor, and maintain models in production, ensuring performance and reliability.
- Mentor junior engineers and conduct knowledge transfer sessions on best practices.
Requirements
- 5+ years of experience in machine learning engineering or data science.
- Strong proficiency in Python and experience with TensorFlow/PyTorch.
- Hands‑on experience with AWS ML services (SageMaker, Lambda, ECS).
- Solid understanding of data engineering concepts and big data tools.
- Excellent communication skills and ability to work in a collaborative environment.
Skills
pythonmachine learningawstensorflowpytorch