AI Ops Engineer

Dear Consultant

I hope you are doing well.

My name is Omkar Nath Sharma and I represent Synchrony Systems Inc. We are currently supporting an implementation partner on a full-time opportunity. Based on your background your experience may align well with this role.

Position Details:

Note:

• This role is not open for C2C/C2H/1099 or any contract arrangements
• This opportunity is available for candidates who can work on a full-time W2 basis without sponsorship.

Job Description

Must Have Technical/Functional Skills:

• We are seeking a AI OPS Engineer with Builds trains and tunes machine learning models. Translates data science experiments into scalable production-ready ML solutions.

Roles & 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).
• Experience with CI/CD and DevOps practices applied to ML (MLOps)