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!

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI/ML model productionalizationMLOpsLLMOpsmodel lifecycle managementautomated frameworksmodel validationperformance monitoringdrift detectionprogramming in PythonAPI development

Soft Skills

leadershipmentoringcollaborationtechnical design