Lead Machine Learning Engineer

Job Description

WHAT YOU’LL DO:

Lead and deliver complex AI/ML initiatives involving multiple stakeholders, ensuring timely delivery of high-quality, business-critical solutions.

Architect scalable, enterprise-level solutions by setting the technical direction and ensuring robust, future - proof designs.

Drive technical excellence and innovation by collaborating across departments, improving engineering practices and integrating emerging technologies and industry trends.

Identify risks and dependencies as well as creating the alignment needed with dependent teams in order to deliver on committed roadmaps.

Mentor and develop engineering talent, fostering professional growth, and promoting a strong, collaborative engineering culture.

Represent and strengthen the Machine Learning Engineering area through active participation in organizational initiatives such as recruitment, onboarding, and strategic collaborations.

WHO YOU’LL WORK WITH

You’ll work closely with machine learning engineers, data scientists, data analysts, solution architects, business stakeholders, and engineering managers to build and enhance AI-powered products that drive innovation and efficiency across the supply chain.

WHO YOU ARE

We are looking for people with…

Proven experience across multiple programming languages, tools and frameworks relevant to AI/ML development.

Strong expertise in MLOps, including testing, monitoring and proactive incident management to ensure product stability.

Deep understanding of system architecture, design, performance optimization and security principles for building robust AI/ML solutions.

Knowledge across data engineering, software engineering and data science to enable effective cross-functional collaboration.

Ability to break down complex initiatives into actionable steps, clearly communication plans and align teams around execution.

Also preferred if you have:

Hands-on experience with mathematical optimization techniques (e.g. linear and