AI/ML Ops Application Support Engineer (50)

AI/ML Ops Application Support Engineer

Location: Atlanta, GA - Remote option Duration: 6 months

Job Summary: We are seeking an experienced AI/ML Ops Application Support Engineer to support, monitor, and maintain AI/ML platforms and applications in a production environment. The role involves ensuring the stability, performance, and reliability of machine learning pipelines, model deployments, and related cloud infrastructure, with a strong focus on operational excellence and incident management.

Key Responsibilities:

• 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/GCP)
• 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)

Education & Experience:

• Bachelor's/Master's degree in Computer Science, Data Science, or related field
• Typically 5+ years of experience in application/production support, with exposure to AI/ML systems

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.