Role: Machine Learning Engineer
Locations: New York, NY (Onsite)
Mode of Hire: Contract
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.-
- ntegrate 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
Regards,
Priyanka
Lead Recruiter
Net2Source Inc. | Address: 270 Davidson Ave, Suite 704, Somerset, NJ 08873, USA
Direct: 201-221 8131 | Email: Priyanka.j@net2source.com
