Hybrid Lead AI Engineer, ML Ops

Posted 7 hours ago

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About the role

  • Lead AI Engineer for Gartner driving end-to-end productionalization of AI initiatives. Spearheading MLOps implementation and collaborating with data science teams for scalable solutions.

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 and monitoring
  • Collaborate closely with data science teams to operationalize experimental models
  • Continuously evaluate and adopt emerging technologies in AI engineering, MLOps, and LLMOps

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

  • Comprehensive medical, dental insurance and vision plan
  • 401K with corporate match, immediate vesting
  • 20+ PTO days plus holidays and floating holidays in your first year
  • Health-and-wellness-related allowance programs
  • Parental leave
  • Tuition reimbursement
  • Employee Stock Purchase Plan
  • Employee Assistance Program
  • Gartner Gives Charity Match
  • Competitive compensation and limitless growth and learning opportunities

Job title

Lead AI Engineer, ML Ops

Job type

Experience level

Senior

Salary

$116,000 - $170,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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