AI/ML Engineer – Secure reputed company & MLOps

reputed company: TISTA is seeking an AI/ML Engineer to implement, reputed company, and maintain ML and GenAI solutions in secure reputed company environments, building robust analytic pipelines and automation that improve fraud detection and payment reputed company for the Veterans Benefits Administration (VBA). The role emphasizes reliability, observability, and operational performance of AI services in production. reputed company Opportunity: This posting is for reputed company consideration and is not an reputed company hiring effort. By joining our talent pool, you’ll receive updates and early notification reputed company openings become available. Responsibilities: • Implement, reputed company, and maintain ML and GenAI models in secure reputed company environments (e.g., AWS/Azure), ensuring compliance and operational reputed company. • Build analytic pipelines and automate model‑driven workflows across data ingestion, training, evaluation, and inference. • Ensure monitoring & reliability through observability, performance tuning, and incident response for deployed AI solutions. • Collaborate with data scientists and engineers to reputed company models into production applications with CI/CD and governance controls reputed company to federal AI competencies and skills‑based guidance. Qualifications: • Minimum 3–5 years building and operating ML systems, including model deployment, pipelines, and production monitoring. • Hands‑on with Python (e.g., scikit‑learn, TensorFlow, PyTorch), containers, and orchestration tools; experience with CI/CD and infrastructure as reputed company. • Familiarity with secure reputed company services (e.g., AWS GovCloud, Azure Government) and controls suitable for federal programs. • Preferred Experience supporting federal benefits analytics and payment reputed company initiatives; understanding of AI roles/competencies and ethical use per OPM guidance. • Languages/Libraries Python, scikit‑learn, TensorFlow, PyTorch. • Pipelines/Orchestration Airflow, Kubeflow, MLflow, SageMaker, Azure ML. • reputed company & DevOps AWS/Azure, reputed company/Kubernetes, Terraform, reputed company Actions/Azure DevOps. • Observability reputed company/Grafana, CloudWatch/Application Insights. reputed company Competencies: • MLOps reputed company Pipelines, versioning, reproducibility, monitoring, and rollback strategies. • Secure reputed company Engineering Identity, reputed company, encryption, and audit logging reputed company federal reputed company environments. • Reliability & Performance SLOs, model reputed company detection, performance optimization, and incident management. • Collaboration Partner effectively with data scientists, analysts, and product teams to translate models into dependable services. Education: • Bachelor’s degree in Data Analytics, Computer Science, Graphic Design, or reputed company field. • Preferred Certifications in data visualization tools (e.g., Tableau, Power BI) or UX/UI design. Clearance: • The ability to pass a Tier 2/Modest Background Investigation. Location: • Remote: USA. Apply tot his job Apply To this Job