MLOps Engineer - Atlanta, GA - Remote - W2

Hi,

The following requirement is open with our client.

Title                                      : MLOps Engineer (W2)

Location                              : Atlanta, GA(Remote)

Duration                              : 12+ Months

Relevant Experience (in Yrs.): 7+

Rate:                                       $57/hr on W2

Job Description:

• Provide L2/L3 production support for AI/ML applications, pipelines, and model deployments
• Monitor model performance, drift, and data quality issues in production environments
• Troubleshoot and resolve incidents, alerts, and system failures across ML workflows
• Support CI/CD pipelines for model deployment and versioning
• Collaborate with Data Scientists, ML Engineers, and DevOps teams for issue resolution and enhancements
• Manage model retraining schedules, batch/real-time pipelines, and inference jobs
• Perform root cause analysis (RCA) and implement preventive measures
• Ensure adherence to SLA/SLO requirements and maintain operational dashboards/reporting
• Handle application release support, patching, and environment maintenance
• Maintain documentation for runbooks, troubleshooting guides, and standard operating procedures
• Required Skills:
• Strong experience in production support / application support roles (AI/ML systems preferred)
• Hands-on experience with Python, SQL, and scripting for troubleshooting
• Knowledge of ML lifecycle (training, validation, deployment, monitoring)
• Experience with cloud platforms (Azure/AWS/Google Cloud Platform)
• Familiarity with ML Ops tools (e.g., MLflow, Kubeflow, SageMaker, Azure ML)
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Exposure to CI/CD tools (Jenkins, GitHub Actions, Azure DevOps)
• Understanding of monitoring tools (Grafana, Prometheus, ELK, Azure Monitor)
• Strong debugging and incident management skills
• Preferred Skills:
• Experience in healthcare/payer domain (claims, enrollment, analytics platforms)
• Knowledge of data engineering tools (Spark, Airflow, Databricks)
• Familiarity with model explainability and governance frameworks
• ITIL process knowledge (incident, problem, change management)

Must Have Skills:

• MLOps
• Python
• SQL
• Cloud
• Kubernetes

Thanks and Regards,

Grace

Technical Recruiter |ASCII Group LLC.

Email:  |Direct:

38345 W. 10 Mile Rd, Ste.#365; Farmington, MI 48335