Senior ML Ops Engineer (Databricks)

IDR, Inc. • United State
Remote
Apply
AI Summary

Design and maintain robust ML workflows using Databricks, MLflow, Delta Lake, and Spark. Implement CI/CD pipelines and utilize cloud platforms like AWS, Azure, or GCP. Apply strong Python skills to support distributed data processing and full lifecycle ML.

Key Highlights
Collaborate with client's team to design and maintain robust ML workflows
Implement and manage CI/CD pipelines
Utilize expertise in cloud platforms to enhance ML operations
Technical Skills Required
Databricks MLflow Delta Lake Spark Python GitHub Actions Azure DevOps Jenkins AWS Azure GCP
Benefits & Perks
Competitive compensation package
Full benefits (Medical, Vision, Dental, and more)
Opportunity to get in with an industry leading organization

Job Description


IDR is seeking a ML Ops Engineer (Databricks) to join one of our top clients remotely. This role offers a unique opportunity to contribute to innovative machine learning operations within a dynamic and supportive team environment. If you are eager to be part of a growing organization that values collaboration and cutting-edge technology, we encourage you to apply today!


** This is a fully remote, 6-month W2 contract (possible extension/conversion).

** The client cannot support C2C or H1B transfers at this time


Position Overview/Responsibilities for the ML Ops Engineer (Databricks):

  • Collaborate with our client's team to design and maintain robust ML workflows using Databricks, MLflow, Delta Lake, and Spark.
  • Implement and manage CI/CD pipelines with tools such as GitHub Actions, Azure DevOps, or Jenkins.
  • Utilize your expertise in cloud platforms like AWS, Azure, or GCP to enhance ML operations.
  • Apply strong Python skills to support distributed data processing and full lifecycle ML, including data ingestion, feature engineering, and model deployment.
  • Ensure model governance, security, and production reliability are upheld.


Required Skills for ML Ops Engineer (Databricks):

  • 5-10 years of experience in ML Ops, Data Engineering, or a related field within cloud environments.
  • Databricks Certification, such as Associate Data Engineer, Professional Data Engineer, or ML Practitioner.
  • Proven experience in building and managing ML pipelines with tools like MLflow, Delta Lake, and Spark.
  • Proficiency in CI/CD tools and cloud platforms (AWS, Azure, or GCP).
  • Strong understanding of model governance and production reliability.


What's in it for you?

  • Competitive compensation package
  • Full Benefits; Medical, Vision, Dental, and more!
  • Opportunity to get in with an industry leading organization
  • Close-knit and team-oriented culture


Why IDR?

  • 25+ Years of Proven Industry Experience in 4 major markets
  • Employee Stock Ownership Program
  • Medical, Dental, Vision, and Life Insurance
  • ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row


Compensation Details: $71-98/hour W2


Subscribe our newsletter

New Things Will Always Update Regularly