Hybrid Lead AI Engineer, ML Ops

at Gartner

• Job title: Lead AI Engineer, ML Ops
• Job type: Full Time
• Experience level: Senior
• Salary: $116,000 - $170,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Google Cloud Platform, Kubernetes, Microservices, Python, PyTorch, Scikit-Learn, Tensorflow, Terraform
• Location requirements: Hybrid, Stamford, United States

About the role

• Lead AI Engineer at Gartner spearheading AI initiatives and model productionalization. Collaborate with teams to implement scalable solutions and maintain best practices for AI development.

Responsibilities

• Lead the full lifecycle of AI/ML model productionalization.
• Establish resilient MLOps and LLMOps pipelines for seamless model deployment, orchestration, and monitoring at scale.
• Architect and implement scalable AI infrastructure and deployment strategies.
• Define and enforce best practices for AI model lifecycle management.
• Build and maintain production-ready AI systems.
• Champion technical design sessions and mentor engineering teams.
• Develop and maintain automated frameworks for model validation, performance monitoring, and drift detection.
• Collaborate closely with data science teams to operationalize experimental models.

Requirements

• 4+ years of progressive experience in AI/ML engineering.
• High proficiency in MLOps and LLMOps platforms (e.g., MLflow, Kubeflow, Weights & Biases).
• Strong DevOps background, including hands-on experience with containerization (Docker, Kubernetes) and CI/CD pipeline automation.
• Advanced programming skills in Python, with deep familiarity in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Proficient in leveraging cloud platforms (AWS, Azure, GCP) and their native AI/ML services.
• Solid experience in infrastructure as code (Terraform, CloudFormation) and configuration management.
• Expertise in model monitoring, drift detection, and performance optimization for production models.
• Strong understanding of data engineering pipelines and real-time data processing architectures.
• Experience designing and developing APIs and working within microservices architectures.

Benefits

• Competitive compensation.
• Limitless growth and learning opportunities.
• A collaborative and positive culture.
• A chance to make an impact.
• Enjoy the flexibility of working from home.
• 20+ PTO days plus holidays and floating holidays in your first year.
• Extensive medical, dental insurance and vision plan.
• 401K with corporate match, immediate vesting.
• Health-and-wellness-related allowance programs.
• Parental leave.
• Tuition reimbursement.
• Employee Stock Purchase Plan.
• Employee Assistance Program.
• Gartner Gives Charity Match.
• And much more!