Lead Machine Learning Engineer, ITC

Overview

Position Type
Full Time
Career area
Machine Learning
Location
4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India
Job ID
R-85145

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?

WHO YOU’LL WORK WITH

You will work within the Supply Chain Planning & Technology (SCPT) organization, partnering with Product Managers, Data Scientists, Engineering teams, and Supply Chain stakeholders across Deployment Optimization (DO), Controlled Allocation (CA), and Dynamic Marketplace Allocation (DMA). This role drives advanced analytics and AI-led decisioning across supply chain platforms.

WHO WE ARE LOOKING FOR

We are looking for a Lead Machine Learning Engineer who can bridge data science and production-grade engineering to solve complex supply chain problems at scale. You bring strong system design skills, hands-on ML expertise, and the ability to lead engineering teams in delivering enterprise-grade AI solutions.

You are comfortable working in ambiguous environments, making architectural decisions, and influencing technical direction across teams. You have deep experience in building scalable ML systems, operationalizing models, and ensuring performance, reliability, and governance in production environments.

8–10 years of experience in software engineering and machine learning, with 2+ years in a technical leadership role

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field (or equivalent combination of education and experience)

Strong programming expertise in Python or R

Hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras) and MLOps practices

Strong experience with cloud platforms (AWS, Azure, Google Cloud Platform) and containerization (Docker, Kubernetes)

Solid data engineering experience with tools and platforms such as Databricks, Apache Spark, Hive, and Airflow is good have

WHAT YOU’LL WORK ON

You will design and deliver scalable machine learning solutions that power supply chain decision-making across Nike. You will lead the end-to-end lifecycle of ML systems, from data ingestion and model development to deployment and real-time monitoring.

Architect and build scalable ML systems leveraging optimisation, NLP (Natural Language Processing), and advanced analytics

Lead end-to-end ML lifecycle (MLOps) including data pipelines, model training, deployment, and monitoring

Provide technical leadership and mentorship to engineering and data science teams

Build and maintain production-grade ML pipelines using CI/CD practices

Optimize model performance, latency, and scalability while ensuring data security and governance

Collaborate with product and business stakeholders to translate complex problems into ML-driven solutions

Evaluate emerging technologies (Generative AI, LLMs, agent-based workflows) and drive adoption where relevant

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

What You Can Expect
OUR HIRING GAME PLAN
01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.