Experience with ML frameworks (TensorFlow/PyTorch)
Requirements:
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)
Job description
Title: AI Ops Engineer Duration: Full Time Location: Remote
Job Description Must Have Technical/Functional Skills
Builds, trains and tunes machine learning models. Translates data science experiments into scalable, production-ready ML solutions.
Key Responsibilities
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.
Required Qualifications
- 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).
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
