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MLOps Engineer-5+ yrs- New York, New York- Onsite

iMedhas Consulting ServicesNew York, NY🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

This MLOps Engineer role offers a fantastic opportunity to build and deploy cutting-edge ML services in a hybrid environment, perfect for experienced professionals who thrive on impactful problem-solving and continuous learning. You'll join a reputable company where your skills in Python, Kubernetes, and ML frameworks will be instrumental in shaping production-grade AI solutions, leading to significant career growth. Apply to leverage your expertise and contribute to innovative projects within a collaborative team.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

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 feature pipelines and data contracts.- Own production health drift detection, performance regression, rollback strategies, and incident response.- 5+ years software engineering with 2+ years shipping ML models to production.- Strong Python skills and experience with ML frameworks (TensorFlow/PyTorch).- Experience with containers and orchestration (Docker/Kubernetes) and API development.- Understanding of ML system design (data leakage, training-serving skew, drift).- CI/CD and DevOps practices applied to ML workloads (MLOps).- Experience with feature stores, model registries, and model monitoring stacks.- GPU optimization and distributed training experience.- Experience with responsible AI toolkits and compliance requirements.Python, TensorFlow, PyTorch, Docker, REST APIs

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