Senior Machine Learning Engineer

About the role

The Senior Machine Learning Engineer (AI/ML) role sits within Nike's Corporate Functions Artificial Intelligence team in Karnataka, India, focused on delivering AI capabilities for Nike's corporate functions. Day-to-day, you will design and implement scalable applications leveraging prediction models and optimization programs, contribute to core advanced analytics, machine learning, and generative AI platforms, and collaborate with globally distributed teammates to solve machine learning problems at scale. You will work closely with business stakeholders, product owners, and engineering peers to ensure successful solution delivery.

What you’ll do

• Design and implement scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact
• Contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development
• Work closely with business stakeholders, product owners, and peers within the engineering team to ensure successful delivery of solutions
• Work with other technology teams that lead the up and down-streams solutions to coordinate dependencies
• Develop and share new skills, mentor, and contribute knowledge and software back to the analytics and engineering communities both within Nike and at-large
• Influence and develop robust machine learning and generative AI solutions that have a direct impact on the business
• Solve machine learning problems at scale within a global organization

What you’ll bring

• Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience
• 5+ years of professional experience in software engineering
• 3+ years of experience in the field of Machine Learning Engineering or related fields
• Expertise in MLOps and ability to articulate the role of MLOps in machine learning development life cycle from experimentation to production and measurement
• Proficiency in Python with ability to mentor others to write robust, maintainable, and extendable code, containerized in Docker and automated with CI/CD
• Expertise with cloud architecture and technologies, especially Amazon Web Services: ECR, SageMaker, Lambda, API Gateway
• Expertise with data structures, data modeling and software architecture
• Experience with complex data sets, ETL pipelines, SQL, and general data engineering

Nice to have

• Familiarity with frameworks such as Scikit-learn, PyTorch, Tensorflow, Spark, FastAPI or similar platforms and frameworks
• Familiarity with pipeline orchestration tools such as AirFlow or Databricks Workflows
• Expertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable
• Strong analytical mindset and experience leading others in problem solving
• Expertise with agile development and test-driven development
• Effective communication skills with team members, stakeholders, the business, and in code
• Experience influencing technical strategy through all aspects of technical design and implementation
• Proficiency providing technical leadership within a team and mentorship to others

Skills

Education

Undergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience