{"id":3679510,"url":"https://alion.io/job/nike-principal-machine-learning-engineer-itc","title":"Principal Machine Learning Engineer, ITC","company":{"id":1634,"name":"Nike","domain":"nike.com","url":"https://alion.io/company/nike","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":64,"ghost_share":0,"stale_share":0.672,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-03T12:35:42Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-05T06:48:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"WHO YOU WILL WORK WITH\nYou will work closely with business stakeholders, product owners, and your peers within the engineering team to ensure the successful delivery of reporting solutions. Additionally, you will work with other technology teams that lead the up- and down-streams solutions to coordinate dependencies.\nWHO WE ARE LOOKING FOR\nWe seek passionate engineers to join our team. As a Principal AI/ML Engineer, you will influence and develop robust machine learning and generative AI solutions that have a direct impact on the business. You should have experience in Python; a strong background in algorithms and data structures; hands-on AWS experience; as well as experience in database technology (e.g. Postgres, Redis) and data processing technology (e.g. Sagemaker or DataBricks). You should also have a demonstrable history of team leadership and value delivery, and be comfortable working in an agile product model. As a Principal AI/ML Engineer, you will be expected to own projects end-to-end - from conception to operationalization, demonstrating an understanding of the full software development lifecycle. As a result, you will be expected to provide technical vision and guidance to your teammates; therefore, strong communication skills are critical in this role.\nTo make it clear, we're not looking for just anyone. We're looking for someone special, someone who had these experiences and clearly demonstrated these skills:\nUndergraduate degree in Computer Science, a Master's degree in a related engineering field, or equivalent experience\n\n10+ years of professional experience in software engineering\n\n3+ years of experience in the field of Machine Learning Engineering or related fields\n\nStrong analytical mindset and experience leading others in problem solving\n\nProficiency working in a team and mentoring others to write robust, maintainable, and extendable code in Python; containerized in Docker, and automated with CI/CD\n\nExpertise with agile development and test-driven development\n\nExpertise with data structures, data modeling and software architecture\n\nExpertise in producing predictive or mathematical optimization models and deploying them to production\n\nExperience with complex data sets, ETL pipelines, SQL, and general data engineering\n\nExpertise in MLOps or API development is highly desirable\n\nExpertise with cloud architecture and technologies, especially Amazon Web Services\n\nExpertise with Spark, Kubernetes, Docker, Jenkins, Databricks, or Terraform is highly desirable\n\nEffective communication skills with team members, stakeholders, the business, and in code\n\nExperience influencing technical strategy through all aspects of technical design and implementation\n\nProficiency providing technical leadership within a team and mentorship to others\n\nWHAT YOU WILL WORK ON\nIf this is you, you’ll be working with the Corporate Functions Artificial Intelligence team at Nike focused on delivering AI capabilities for Nike’s corporate functions. With teammates globally distributed, you’ll be joining a global organization working to solve machine learning problems at scale. You’ll be designing and implementing scalable applications that leverage prediction models and optimization programs to deliver data driven decisions that result in immense business impact. You’ll also contribute to core advanced analytics, machine learning, and generative AI platforms and tools to enable both prediction and optimization model development. You thrive when surrounded by talented colleagues and aim to never stop learning. 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