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Lead Software Engineer, ITC

AT NIKE, Inc.
NIKE, Inc.

Lead Software Engineer, ITC

Gadag, India

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

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WHO YOU'LL WORK WITH

This role is part of the Tech Modernization team under Enterprise Architecture & Dev Platforms.

We are seeking an experienced AI and MLOps and DevOps Lead Engineer to lead the development and deployment of artificial intelligence and machine learning models in our organization. The successful candidate will be responsible for designing, building, and maintaining scalable and efficient AI and ML pipelines, as well as ensuring the smooth operation of our data engineering and science teams. This role is a key part of the Enterprise Architecture & Development Platforms team within Enterprise Platforms, where we drive transformative innovation to enable growth and build the essential tools that power our organizations success.

The ideal candidate will have a strong background in AI and ML, DevOps, and software engineering, with experience in leading cross-functional teams and driving innovation. The ideal candidate will possess a deep understanding of modern technical concepts, a meticulous eye for detail, and a strong commitment to data accuracy and insightful analysis. They should also be highly self-driven, exhibit exceptional communication skills, and work with a strong sense of urgency and integrity.

WHO WE ARE LOOKING FOR

  • Lead the development and deployment of AI and ML models, LLM models, including data preparation, model training, and model serving at Production grade and scale.
  • Design and implement scalable and efficient AI and ML pipelines, including data ingestion, processing, and storage
  • Collaborate with other platform teams and engineers to develop and deploy AI and ML models, and ensure seamless integration with existing systems
  • Develop and maintain DevOps processes and tools to ensure the smooth operation of AI and ML pipelines, including continuous integration, continuous deployment, and continuous monitoring
  • Lead and mentor a team of engineers to design, develop, and deploy AI and ML models
  • Collaborate with stakeholders to identify business needs and develop solutions that meet those needs
  • Develop and maintain technical documentation and knowledge base for AI and ML pipelines and processes
  • Stay up-to-date with the latest advancements in AI and ML, and apply this knowledge to drive innovation and improvement in our organization
  • Ensure compliance with organizational and industry standards for data privacy, security, and ethics

WHAT YOU'LL WORK ON

  • 6+ years of experience in AI and ML, DevOps, and software engineering.
  • Strong background in software engineering, and cloud-based(preferably AWS) AI/ML services.
  • Must have expertise in MLOps and LLMOps to ensure efficient and scalable deployment and management of machine learning models and LLM models.
  • Experience with DevOps tools such as Docker, Kubernetes, or Jenkins, CI/CD pipelines, DVC(Data Version control)/model monitoring and versioning.
  • Experience in MLOps tools like MLflow, In cloud like Sagemaker, Azure ML
  • Experience with cloud-based platforms such as AWS, Azure, or Google Cloud
  • Good to have experience in Natural Language Processing (NLP): Text preprocessing, tokenization, embeddings, sentiment analysis, named entity recognition (NER), anomaly detection
  • Good Knowledge of computer science fundamentals
  • Keen to explore new technologies.
  • Excellent communication and leadership skills, with the ability to lead and mentor a team of engineers.

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 committed to employing a diverse workforce. 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.

Benefits

Whether it's transportation or financial health, we continually invest in our employees to help them achieve greatness - inside and outside of work. All who work here should be able to realize their full potential.

Client-provided location(s): Karnataka, India
Job ID: nike-21272_R-43836
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • Fertility Benefits
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program
    • Work Visa Sponsorship
    • Leadership Training Program
    • Associate or Rotational Training Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Veteran founded/led