[Remote] AI Ops Engineer

Note: The job is a remote job and is open to candidates in USA. Diverse Lynx is seeking an AI Ops Engineer to build, train, and tune machine learning models. The role involves translating data science prototypes into scalable, production-ready ML solutions and collaborating with Data Engineering on feature pipelines.ResponsibilitiesTranslate data science prototypes into production-grade ML services and pipelinesBuild training and inference code with reproducibility, versioning, and automated testingImplement scalable model serving (online/offline), batching, and latency/throughput optimizationIntegrate model lifecycle tooling (tracking, registry, deployment automation, monitoring)Collaborate with Data Engineering on feature pipelines and data contractsOwn production health: drift detection, performance regression, rollback strategies, and incident responseSkills5+ years software engineering with 2+ years shipping ML models to productionStrong Python skills and experience with ML frameworks (TensorFlow/PyTorch)Experience with containers and orchestration (Docker/Kubernetes) and API developmentUnderstanding of ML system design (data leakage, training-serving skew, drift)CI/CD and DevOps practices applied to ML workloads (MLOps)Company OverviewDiverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. It was founded in 2002, and is headquartered in Princeton, New Jersey, US, with a workforce of 1001-5000 employees. Its website is http://www.diverselynx.com.Company H1B SponsorshipDiverse Lynx has a track record of offering H1B sponsorships, with 1 in 2024, 1 in 2021. Please note that this does not guarantee sponsorship for this specific role.