ML Engineer

Job Role - ML Engineer Location - Minneapolis, MN (Onsite) Can do Only W2. No C2C Job Description: Translate data science prototypes into production-grade ML services and pipelines. Build training and inference code with reproducibility, versioning, and automated testing. Implement scalable model serving (online/offline), batching, and latency/throughput optimization. Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring). Collaborate with Data Engineering on

Translate data science prototypes into production-grade ML services and pipelines. Build training and inference code with reproducibility, versioning, and automated testing. Implement scalable model serving (online/offline), batching, and latency/throughput optimization. Integrate model lifecycle tooling (tracking, registry, deployment automation, monitoring). Collaborate with Data Engineering on feature pipelines and data contracts. Own production health: drift detection, performance regression

AI Center of Excellence as a Machine Learning Engineer Consultant! In this exciting role, you?ll collaborate with talented experts to build innovative solutions that address our company?s evolving business challenges. Primary Responsibilities: Lead the design and development of ML pipelines for advanced AI algorithms and ML models to solve complex problems across diverse business domains. Collaborate on development of ML architecture and implement robust, efficient, and scalable AI systems tha

Job Title: AI/ML Engineer Job Location: Hybrid - Minneapolis MN (onsite 3x a week) Job Type: Long term contract Overview This Engineer will be part of a huge initiative where the goal is to improve consumer s omni-channel experience within sales and marketing. Consumers are Medicare shoppers looking for the best health plan that suits their needs. The engineering team is responsible for designing and implementing an AI focused architecture involving different models (ML, GenAI and LLMs) that wor