Databricks MLOps Engineer - Join our growing community

About us:

AI & ML Professionals

Structured Onboarding Process

• Screening - We review your application and experience in Data & AI, ML engineering, and solution delivery
• Technical Assessment - 2-step technical assessment process that includes an interactive problem-solving test, and a verbal interview about your skills and experience
• Matching you to Opportunity - We explore how your skills align with ongoing projects and innovation tracks
  

Who We're Looking For

Senior MLOps Engineer with deep expertise in the Databricks ecosystem

Requirements

• 6+ years of professional experience in DevOps, DataOps, or MLOps roles
• 3+ years hands-on with Databricks, including Delta Lake, MLflow, and cluster/workflow administration
• Strong experience in CI/CD, infrastructure as code (Terraform, GitOps), and Python-based automation
• Solid understanding of ML lifecycle management, experiment tracking, model registries, and automated deployment pipelines
• Deep knowledge of AWS (EKS, IAM, Lambda, CloudFormation or Terraform) and/or Azure (ADLS, Azure DevOps, ACR)
• Experience working with containerized environments, including Kubernetes and Helm
• Familiarity with data governance and access control frameworks like Unity Catalog
• Strong scripting and programming skills in Python, Shell, and YAML/JSON
  

Benefits

• Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence
• Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth
• Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here
• Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn't just a knowledge-sharing forum—it's a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself