onsite
Senior Machine Learning Engineer - adesso SE
ML Engineer
Lead end‑to‑end AI projects, designing and deploying scalable ML solutions on AWS using Python, TensorFlow, and PyTorch. Drive model performance, data pipelines, and production readiness in a collaborative, fast‑paced environment.
About the role
Key Responsibilities
- Architect, develop, and deploy production‑grade machine learning models on AWS, ensuring scalability and reliability.
- Design and maintain data pipelines and feature stores to support model training and inference.
- Collaborate with data scientists, product managers, and DevOps teams to translate business requirements into technical solutions.
- Implement continuous integration/continuous deployment (CI/CD) workflows for ML models and associated code.
- Monitor model performance in production, conduct root‑cause analysis, and iterate for improvement.
Requirements
- 5+ years of experience in machine learning engineering or related roles.
- Proficiency in Python, TensorFlow, and PyTorch for model development.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda, Step Functions).
- Strong understanding of data engineering concepts and experience with ETL pipelines.
- Excellent communication skills and a collaborative mindset.
Skills
pythonmachine learningawstensorflowpytorch