Staff Data & AI Platform Engineer, MLOps

Job not on LinkedIn

August 6

Apply Now

Receive Emails with Similar Jobs

Teladoc Health

WebsiteLinkedInAll Job Openings

Healthcare Insurance • Telecommunications • Wellness

Teladoc Health is a leading provider of virtual healthcare services, enabling individuals around the world to access comprehensive care 24/7. The company offers a broad range of services including mental health therapy, weight management, diabetes and hypertension management, and primary care. Through its platform, Teladoc Health connects users with healthcare professionals for same-day care and long-term management of chronic conditions. The company also supports organizations, hospitals, and healthcare systems by providing integrated care solutions and enhancing employee health. With a focus on whole-person care, Teladoc Health is dedicated to improving healthcare accessibility and quality through innovation.

1001 - 5000 employees

Founded 2002

⚕️ Healthcare Insurance

📡 Telecommunications

🧘 Wellness

💰 $80M Post-IPO Debt on 2016-07

📋 Description

• Lead the design, deployment, and operationalization of scalable machine learning (ML) and large language model (LLM) infrastructure across Azure ML, Databricks, Snowflake, and Terraform. • Define and execute MLOps/LLMOps strategies, integrate ML workflows with Snowflake, and build robust CI/CD pipelines for AI infrastructure. • Drive AI platform roadmaps, optimize model performance, and ensure operational maturity across ML environments. • Manage and mentor team members on advanced Azure ML, Databricks, MLflow, and Terraform implementations. • Analyze model performance, inference latency, and infrastructure issues to implement preventive measures. • Collaborate with Security and Cloud Ops on ML security, governance, and compliance frameworks.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field; equivalent work experience is acceptable. • 8+ years of experience with Azure ML, Databricks, Terraform, and ML application deployment integrating into modern data lake platforms. • Proven experience in MLOps/LLMOps architecture and AI platform development. • Expertise in CI/CD pipeline design using GitHub Actions, Azure DevOps, MLflow, and/or Terraform Cloud. • Infrastructure as Code proficiency with Terraform for Azure ML, Azure AI Foundry, AWS Bedrock, and/or AKS provisioning. • Containerization and orchestration using Docker, Kubernetes, and/or Azure Container Services. • ML observability using OpenTelemetry and Azure Monitor for drift detection and performance tracking. • Experience with LLM frameworks (LangChain, OpenAI APIs, Azure OpenAI), vector databases, and RAG implementation. • Familiarity with AI ethics compliance, model governance, and regulated industry ML requirements. • Strong problem-solving and critical thinking abilities. • Self-starter with initiative and motivation to drive innovation.

🏖️ Benefits

• Performance bonus and benefits (subject to eligibility)