AML Lead Engineer/Scientist at Best Buy in Minneapolis, Minnesota

Job Description:

As an AML Lead Engineer/Scientist, you'll work alongside industry experts researching, developing and applying cutting-edge machine learning and artificial intelligence algorithms. This will help build innovative technologies, services and products that solve the company's hardest problems and accelerate Best Buy's core growth. In this role you'll combine your software engineering skills and knowledge of ML and AI algorithms to contribute to a team developing and operationalizing models, algorithms and production quality codebases.

This role is hybrid, which means you will work some days on site at a Best Buy location and some days virtually at home or another non-Best Buy location. The specific work arrangements vary by role and team. The recruiter or hiring manager will provide more details during the hiring process.

For this role, you must be located within a drivable distance to our office in Richfield, Minnesota, Atlanta, Georgia or Seattle, Washington.

What you'll do
Lead operationalization of large-scale AI solutions, with AI Engineering and AIOps excellence, partnering closely with AI scientistsGuide AI engineers leveraging the best AIOps and MLOps techniques to activate AI solutions at enterprise scaleUse extensive knowledge of software engineering and AI to contribute to the roadmap of Best Buy's core AI capabilitiesPartner with global cross-functional teams including AI, data, platforms, products, analytics, business and complianceWork through complex technical and business problems in high pressure scenarios, connecting the larger enterprise goals to teams' tactical deliverables
Basic qualifications
Bachelor's degree in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience6 years of experience building and operationalizing ML/AI products 3 years of MLOps or AIOps experience, operationalizing real-time ML/AI models with ultra-low latency and high throughput as resilient, scalable, cloud native services3 years of experience leading end to end design reviews, code reviews and deployment patterns for critical AI applications in one or more of Gen AI, supervised learning, unsupervised learning and reinforcement learning domains3 years of experience with Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production grade pipelinesExpert level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core)Expert level coding expertise in Python and SQLExpert level knowledge of MLOps/AIOps concepts and CI/CD pipelines
Preferred qualifications
Master's degree or PhD. in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience Multi-cloud and multi-region integration experienceRelevant certificationsOpen-source contributions or robust GitHub portfolio
What's in it for you

We're committed to helping our people thrive at work and at home. We offer generous benefits that address your total well-being and provide support as you need it, especially key moments in your life.

Our benefits include:Competitive payGenerous employee discountPhysical and mental well-being support
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.

Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Best Buy is an equal opportunity employer.
Position Type: Full timePandoLogic. Keywords: Anti Money Laundering Manager, Location: Minneapolis, MN - 55423