Staff Machine Learning Engineer, MLOps / LLMOps

Join the team leading the next evolution of virtual care.

At Teladoc Health, you are empowered to bring your true self to work while helping millions of people live their healthiest lives.

Here you will be part of a high-performance culture where colleagues embrace challenges, drive transformative solutions, and create opportunities for growth. Together, we're transforming how better health happens.

Summary of Position

We are seeking aStaff Platform Engineer - Data & AI Platformto lead the design, deployment, and operationalization of scalable machine learning (ML) and large language model (LLM) infrastructure across Azure ML, Databricks, Snowflake, and Terraform. This role is responsible for defining and executing MLOps / LLMOps strategies, integrating ML workflows with Snowflake, and building robust CI / CD pipelines for AI infrastructure.

The ideal candidate will have 8+ years of experience in ML platform engineering, including hands-on expertise with Azure ML, Databricks, Snowflake ML features, and Terraform automation. The Staff Platform Engineer will drive AI platform roadmaps, optimize model performance, and ensure operational maturity across ML environments. Strong skills in infrastructure as code, container orchestration, and model governance are essential.

Essential Duties and Responsibilities

Manage and mentor team members on advanced Azure ML, Databricks, MLflow, and Terraform implementations.

Lead the implementation and optimization of AI platforms, including Azure OpenAI, Snowflake ML, and LLM deployment strategies.

Define long-term MLOps / LLMOps vision and drive platform roadmaps focused on scalability, reliability, and compliance.

Architect scalable ML environments, including compute optimization, model serving, and reusable Terraform modules.

Build and deploy CI / CD pipelines for Azure ML, Databricks, Snowflake ML workflows, and containerized ML applications.

Provide technical oversight for ML workspace structures, data pipeline dependencies, and infrastructure automation.

Document architecture patterns, integration standards, and infrastructure specifications.

Deliver internal training on MLOps best practices and AI platform tools.

Analyze model performance, inference latency, and infrastructure issues to implement preventive measures.

Ensure operational maturity across AI platforms, maintaining security compliance and model governance.

Participate in 24x7 on-call rotation for AI platform incident escalation.

Collaborate with Security and Cloud Ops on ML security, governance, and compliance frameworks.

The time spent on each responsibility reflects an estimate and is subject to change dependent on business needs.

Supervisory Responsibilities

No

Qualifications Expected for Position

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.

Bonus Qualifications

Excellent communication skills for translating technical concepts to diverse audiences.

Strong problem-solving and critical thinking abilities.

Self-starter with initiative and motivation to drive innovation.

Databricks, Azure ML and / or AI certifications preferred.

The base salary range for this position is $145,000-$165,000. In addition to a base salary, this position is eligible for a performance bonus and benefits (subject to eligibility requirements) listed here : Teladoc Health Benefits 2026 . Total compensation is based on several factors including, but not limited to, type of position, location, education level, work experience, and certifications.This information is applicable for all full-time positions.

#LI-SS2 #LI-Remote

As part of our hiring process, we verify identity and credentials, conduct interviews (live or video), and screen for fraud or misrepresentation. Applicants who falsify information will be disqualified.

Teladoc Health will not sponsor or transfer employment work visas for this position. Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Why join Teladoc Health?

Teladoc Health is transforming how better health happens. Learn how when you join us in pursuit of our impactful mission .

Chart your career path with meaningful opportunities that empower you to grow, lead, and make a difference.

Join a multi-faceted community that celebrates each colleague's unique perspective and is focused on continually improving, each and every day.

Contribute to an innovative culture where fresh ideas are valued as we increase access to care in new ways.

Enjoy an inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.

Explore candidate resources with tips and tricks from Teladoc Health recruiters and learn more about our company culture by exploring #TeamTeladocHealth on LinkedIn .

As an Equal Opportunity Employer, we never have and never will discriminate against any job candidate or employee due to age, race, religion, color, ethnicity, national origin, gender, gender identity / expression, sexual orientation, membership in an employee organization, medical condition, family history, genetic information, veteran status, marital status, parental status, or pregnancy). In our innovative and inclusive workplace, we prohibit discrimination and harassment of any kind.

Teladoc Health respects your privacy and is committed to maintaining the confidentiality and security of your personal information. In furtherance of your employment relationship with Teladoc Health, we collect personal information responsibly and in accordance with applicable data privacy laws, including but not limited to, the California Consumer Privacy Act (CCPA). Personal information is defined as : Any information or set of information relating to you, including (a) all information that identifies you or could reasonably be used to identify you, and (b) all information that any applicable law treats as personal information. Teladoc Health's Notice of Privacy Practices for U.S. Employees' Personal information is available at this link.