As a lead technologist for the AI/ML ModelOps Program, you will lead and develop Artificial Intelligence and Machine Learning solutions (real-time customer facing, supply chain optimization, forecasts, IoT and others) while creating standardization and scalability across environments so that development, training, and deployment processes can run consistently, and in a platform-agnostic manner.
Leveraging your previous experience, we will enable you to:
Work independently & cross-functionally to build & scale relevant analytics solutions.
Build repeatable patterns, through code libraries, processes, etc., to increase the team efficiency of the AI/ML solution scaling process.
Evaluate & translate unstructured questions from business teams to data problems and help define roadmaps for potential data solutions.
Drive adoption of analytics data products & insights across business teams.
Establish yourself & the team as subject matter experts and trainers in AI/ML across departments.
Influence decisions by providing technical consultation and direction to stakeholders.
Recommend new technology trends and innovative products/features to the enterprise.
Train and re-train ML systems and models as and when necessary.
Extend, enrich, and standardize existing AI/ML frameworks and libraries.
We’d love to hear from people with:
3-5 years’ experience as a Machine Learning Engineer for production systems, Data Scientist, or similar role
Real world expertise in Reinforcement Learning and/or Deep Learning methods
Ability to develop robust code in Python, Java, and R, with familiarity in common Data Science / ML packages
Experience developing real-time AI/ML solutions
Experience working in Spark, SQL, NoSQL, or Map-Reduce environments; explicit Data Engineering experience is a bonus
Experience with modern cloud architecture ML patterns; Azure experience is a bonus
Understanding of AI/ML application management processes, such as ModelOps/MLOps/DevOps
Retail, customer loyalty, and/or eCommerce industry experience preferred
Understanding of data structures, data modeling, and software architecture
Deep knowledge of math, probability, statistics, and algorithms
Strong analytical & problem-solving skills, with ability to communicate & influence business teams
BS in Computer Science, Mathematics, or similar technical field; Master’s or advanced degree preferred
Let us give you the opportunity to be part of something bigger than yourself. It’s time for you to #beapartner. Apply today!
Starbucks and its brands are an equal opportunity employer of all qualified individuals.
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at 206-318-0660 or via email at email@example.com