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Machine Learning Engineer - Advatixinc
ML Engineer
Develop and deploy machine learning models using Python, TensorFlow, and PyTorch on AWS infrastructure, ensuring high performance and scalability.
About the role
Key Responsibilities
- Design, implement, and optimize end‑to‑end machine learning pipelines from data ingestion to model deployment.
- Collaborate with data scientists to translate research prototypes into production‑ready services.
- Maintain and scale model serving infrastructure on AWS (SageMaker, ECS, Lambda).
- Monitor model performance, conduct drift analysis, and implement retraining workflows.
- Document best practices, model artifacts, and deployment procedures for cross‑functional teams.
Requirements
- Proven experience building ML models in Python with TensorFlow or PyTorch.
- Strong understanding of cloud services, especially AWS, for model hosting and scaling.
- Solid grasp of data engineering concepts: ETL, feature stores, and data pipelines.
- Excellent problem‑solving skills and ability to work independently in a fast‑paced environment.
Skills
pythonmachine learningtensorflowpytorchaws