84.51°
Lead AI/ML Engineer (P4645)
Cincinnati, OH; Chicago, IL
Sponsorship not specified$125k-$207kDetected 1 day ago
PythonAlgorithmsCode ReviewDatabricksAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceMLOpsA/B TestingResearchLeadershipCollaborationMentoringAdaptability
About the role
- 84.51° is a retail data science, insights and media company.
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
- Drive technical best practices in code quality, documentation, observability, and team knowledge sharing
- Drive experimentation and benchmarking to select performant solutions that balance complexity and business value
Requirements
- Strong software engineering fundamentals and daily coding experience in Python
- Deep proficiency in Python and fluency in NumPy, pandas, PySpark and at least 3 of the following MLand Optimization libraries - PyTorch, TensorFlow, scikit-learn, and Pyomo (Pyomo proficiency is specifically required).
- Practical experience with at least two industry-standard optimization solvers such as Gurobi, CPLEX, OR-Tools, Pyomo, PuLP, CBC, or SCIP.
- Hands-on experience designing CI/CD and MLOps workflows using tools such as MLflow, Azure ML, or Databricks
- Experience with modern software development practices including testing, logging, observability, and version control
- Deep knowledge of operations research fundamentals such as linear programming, integer programming, mixed-integer programming, constraint programming, stochastic optimization, or combinatorial optimization
- Strong track record of partnering with researchers to translate early-stage ML ideas into deployable systems
- Experience prototyping and scaling AI solutions in applied environments
- Experience designing experiment platforms or reusable ML/optimization infrastructure
- Familiarity with real-time or batch data processing systems
Nice to have
- Familiarity with cloud platforms (Azure preferred), containerization (Docker), and orchestration (Kubernetes)
Compensation
- $125,000 - $207,000 USD
Benefits
- Medical: with competitive plan designs and support for self-care, wellness and mental health.
- with in-network and out-of-network benefit.
- Health Savings Account with matching contribution (requires participation in qualifying medical plan).
- Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year.
- Paid leave for maternity, paternity and family care instances.
- 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
This listing is sourced directly from 84.51°'s careers page and normalized into a canonical job model.