onsite
Senior Machine Learning Engineer - ascentt
ML Engineer
Lead end‑to‑end ML projects, designing scalable models and production pipelines using Python, TensorFlow, and AWS services. Drive innovation in data science, model deployment, and performance optimization for high‑impact applications.
About the role
Key Responsibilities
- Design, develop, and deploy production‑ready machine learning models using Python, TensorFlow, and PyTorch.
- Collaborate with data engineers to build robust data pipelines and feature stores on AWS.
- Optimize model performance, scalability, and latency through experimentation and profiling.
- Mentor junior engineers and conduct code reviews to maintain high coding standards.
- Integrate ML solutions with existing services and monitor model drift in production.
Requirements
- 5+ years of experience in machine learning engineering or related field.
- Strong proficiency in Python, TensorFlow, and PyTorch.
- Hands‑on experience with AWS services (SageMaker, EC2, S3, Lambda).
- Solid understanding of data engineering concepts and SQL.
- Excellent communication skills and ability to work cross‑functionally.
Skills
pythonmachine learningdeep learningtensorflowpytorchaws