84.51° is looking to accelerate the transition from proof-of-concept to scalable business solutions by developing and scaling the next generation of AI/ML/optimization capabilities across Kroger.
Requirements
4+ years experience experience developing ML, AI, or optimization systems, including production deployment and scaling
Strong software engineering fundamentals and daily coding experience in Python
Deep proficiency in Python and fluency in ML and Optimization libraries such as PyTorch, TensorFlow, scikit-learn, and Pyomo
Hands-on experience designing CI/CD and MLOps workflows using tools such as MLflow, Azure ML, or Databricks
Familiarity with cloud platforms (Azure preferred), containerization (Docker), and orchestration (Kubernetes)
Experience with modern software development practices including testing, logging, observability, and version control
Strong track record of partnering with researchers to translate early-stage ML ideas into deployable systems
Responsibilities
Serve as a hands-on developer responsible for building and maintaining end-to-end ML, AI, and optimization-based solutions
Lead technical design, implementation, and review processes for POCs and production-ready systems
Lead end-to-end solution lifecycle—from rapid prototyping through to scaling and hand-off to production teams in partnership with other data scientists and engineers within Labs and across the business
Partner with researchers and data scientists to co-develop, scale, and operationalize new algorithms
Architect and implement robust ML(AI)Ops pipelines that support experimentation, deployment, and monitoring
Build reusable ML components and APIs that enable modularity and scalability across business areas
Evaluate and adopt emerging technologies and tooling that can enhance experimentation and delivery speed
Other
Ability to lead projects through ambiguity and collaborate in highly cross-functional teams
Contribute to Labs’ collaborative, research-forward culture by learning, sharing, and mentoring both junior and senior engineers and researchers on industry-leading and cutting-edge technologies
Represent Labs in technical forums; proactively mentor junior and peer engineers
Collaborate with product and business stakeholders to align technical execution with innovation goals
