Machine Learning - Tensor Flow - Pytorch - Freelance - REMOTE

We are looking for a ML Engineer to work closely with the ML Architect to develop on ML frameworks (Tensor Flow, Scikit-Learn, Pytorch), Experimentation platform and tools.

Responsibilities:

• Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
• Collaborating with cross-functional teams to help deploy/integrate machine learning models.
• Liaise with the BUs for their ML needs and work on the cross-BU ML portfolio.
• Optimize feature extraction, transformation and selection.
• Feature Stores for reusability across ML pipelines.
• Ensure scalability, reliability, cost efficiency, and ease of use of the machine learning platform
• Contribute to evaluating and adopting new technologies and tools to enhance our machine-learning capabilities

Requirements

• At least 5 years of experience as a Machine Learning Engineer.
• Experienced with ML frameworks (Tensor Flow, Scikit-Learn, Pytorch).
• Experienced with Model training, versioning and monitoring.
• Strong background in MLOps practices, including CI/CD, containerization (Docker), orchestration frameworks (Kubernetes, Airflow), model serving tools (AWS Sage Maker, Databricks MLFlow), model observability frameworks, automation and feature stores.

Please get in touch asap for a chance to interview and grow your career.