Role : MLOPS Engineer
Location : Dallas, TX or Columbus, OH (Onsite)
Mode : Contract
MLOPs engineer with 5+ years of experience in building and supporting AWS Sage maker pipeline for building models on large volume of data (billions of records) and configure to serve for a real time API (<100ms)
What You’ll Do:
- Build and maintain scalable MLOps pipelines using AWS SageMaker
- Support full ML lifecycle: ingestion → training → versioning → deployment
- Optimize models for real-time inference via APIs
- Detect and address data/model drift, automate re-training workflows
- Use feature stores and model registries effectively
- Collaborate across data science, ML, and engineering teams
- Architect end-to-end AI/ML solutions on Databricks
What You Bring:
- 5+ years in MLOps, ML Engineering, or Data Engineering
- Deep AWS SageMaker experience (Pipelines, Studio, Model Hosting)
- Hands-on with large-scale data (billions of records)
- Real-time model deployment experience with <100ms latency
- Familiarity with Databricks, CI/CD for ML, and monitoring
- Skilled in Python, Docker, Bash, Terraform/CloudFormation (nice to have)
- Experience with version control (Git), CI/CD, and containerization (e.g., Docker) is a plus.
- Strong problem-solving skills and ability to work in an agile, collaborative environment.
Ajith Kumar
VBeyond Corporation || PARTNERING FOR GROWTH
Hillsborough, New Jersey, USA
