Machine Learning Engineer - Remote

Overview

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

In Short

• Develop large-scale distributed machine learning systems that are scalable, performant, efficient, and reliable
• Collaborate 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.
• Work with and manage 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

• Strong experience in machine learning frameworks like TensorFlow, Scikit-Learn, and Pytorch
• Experience in developing distributed systems
• Ability to collaborate with cross-functional teams
• Knowledge of feature extraction and selection techniques
• Experience managing Feature Stores
• Strong problem-solving skills

Benefits

• Opportunity to work on cutting-edge machine learning technologies
• Collaborative work environment
• Professional development opportunities