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Senior Machine Learning Engineer - TD
ML Engineer
Senior Machine Learning Engineer driving end‑to‑end ML solutions on AWS, building scalable data pipelines, deploying models, and collaborating with cross‑functional teams to deliver AI insights.
About the role
Key Responsibilities
- Design, develop, and production‑grade machine learning models using Python and deep learning frameworks.
- Build and maintain scalable data pipelines on AWS (S3, Glue, Redshift, SageMaker).
- Collaborate with data scientists, product managers, and software engineers to translate business problems into ML solutions.
- Deploy, monitor, and optimize models in production, ensuring reliability and performance.
- Document model logic, performance metrics, and best practices for reproducibility.
Requirements
- 5+ years of experience in machine learning engineering or related field.
- Proficiency in Python, SQL, and AWS services (SageMaker, Glue, Redshift).
- Strong background in deep learning, model deployment, and CI/CD pipelines.
- Excellent problem‑solving skills and ability to work in a fast‑paced environment.
- Effective communication skills for cross‑functional collaboration.
Skills
pythonmachine learningawsdeep learningsql