onsite
Machine Learning Engineer - Hoffrogge
ML Engineer
Design, develop, and deploy machine learning models using Python, TensorFlow, and PyTorch on AWS infrastructure, ensuring scalable, high‑performance solutions for real‑world data challenges.
About the role
Key Responsibilities
- Build and train end‑to‑end machine learning pipelines from data ingestion to model deployment.
- Collaborate with data scientists and software engineers to translate research prototypes into production‑ready services.
- Optimize models for performance, scalability, and cost on AWS (SageMaker, EC2, Lambda).
- Implement robust monitoring, logging, and A/B testing frameworks to track model drift and performance.
- Contribute to data engineering workflows, ensuring clean, feature‑rich datasets for training.
Requirements
- Strong programming skills in Python and experience with TensorFlow or PyTorch.
- Hands‑on experience deploying ML models on AWS services.
- Solid understanding of data pipelines, feature engineering, and model evaluation metrics.
- Excellent problem‑solving skills and ability to work in a fast‑paced, collaborative environment.
Skills
pythontensorflowpytorchaws