Description

In this role, you will lead a dynamic Machine Learning Engineering team, collaborating with data scientists to create scalable ML applications. Your day-to-day responsibilities will involve shaping engineering standards, driving technical strategy, and fostering innovation across teams.

Requirements

• •Proven leadership experience managing machine learning or software engineering teams
• •Strategic technical vision leading complex ML/data science initiatives
• •Deep ML and cloud expertise including machine learning frameworks, MLOps practices, and AWS cloud services
• •Production ML deployment experience with large-scale ML systems
• •Bridge-builder mindset with exceptional communication skills
• •Hands-on technical credibility to guide technical decisions

Tasks

• •Lead and scale the Machine Learning Engineering team
• •Partner with data scientists to transform models into production-grade ML applications
• •Establish ML Engineering standards, best practices, and quality benchmarks
• •Drive technical strategy and architecture across data science and engineering teams
• •Ensure alignment of technical strategy with business objectives
• •Communicate system designs to tech leadership
• •Translate MLOps platform capabilities into practical guidance for data science teams
• •Channel ML engineering requirements back to the MLOps platform team
• •Build strong relationships across cross-functional teams
• •Mentor engineers and foster a culture of innovation and continuous improvement

Tools & Technologies

Benefits