onsite
AI/ML Engineer Contract - 66degrees
ML Engineer
Contract AI/ML Engineer to design, develop, and deploy scalable machine learning solutions on AWS, leveraging Python and deep learning frameworks to transform complex data into actionable insights for enterprise clients.
About the role
Key Responsibilities
- Design, implement, and production‑grade deploy machine learning models using Python and deep learning libraries (TensorFlow, PyTorch).
- Build and maintain data pipelines and feature stores on AWS (S3, Glue, Redshift, SageMaker).
- Collaborate with data scientists and product teams to translate business requirements into technical solutions.
- Optimize model performance, monitor drift, and iterate on model retraining workflows.
- Document architecture, code, and best practices for internal knowledge sharing.
Requirements
- Strong experience with Python, SQL, and AWS services for ML.
- Proven track record in building end‑to‑end ML pipelines and deploying models at scale.
- Knowledge of deep learning techniques and experience with TensorFlow or PyTorch.
- Excellent problem‑solving skills and ability to work independently in a contract setting.
Skills
pythonmachine learningawsdeep learning