AML Lead Engineer/Scientist - Best Buy : Job Details

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 scientists* Guide AI engineers leveraging the best AIOps and MLOps techniques to activate AI solutions at enterprise scale* Use extensive knowledge of software engineering and AI to contribute to the roadmap of Best Buy's core AI capabilities* Partner with global cross-functional teams including AI, data, platforms, products, analytics, business and compliance* Work through complex technical and business problems in high pressure scenarios, connecting the larger enterprise goals to teams' tactical deliverablesBasic qualifications* Bachelor's degree in a highly quantitative field (computer science, engineering, physics, math, operations research or related) or equivalent relevant professional experience* 6 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 services* 3 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 domains* 3 years of experience with Google Cloud Platform (GCP), building and maintaining ML/AI solutions with production grade pipelines* Expert level understanding of Python ecosystem and common AI/ML frameworks (LangChain, TensorFlow, PyTorch, scikit-learn, Seldon-Core)* Expert level coding expertise in Python and SQL* Expert level knowledge of MLOps/AIOps concepts and CI/CD pipelinesPreferred 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 experience* Relevant certifications* Open-source contributions or robust GitHub portfolioWhat's in it for youWe'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 pay* Generous employee discount* Physical and mental well-being supportAbout usAs 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. Category:Finance, Keywords:Anti Money Laundering Manager, Location:Minneapolis, MN-55423