ML Ops Engineer- Databricks Certified
IDR is seeking a ML Ops Engineer- Databricks Certified to join one of our top clients in our client's location. This role offers a unique opportunity to work remotely on a 6-month contract, contributing 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 ! Position Overview/Responsibilities for the ML Ops Engineer- Databricks Certified: Collaborate with our client's team to design and maintain robust ML workflows using Databricks, MLflow, bolthires Lake, and Spark.Implement and manage bolthires/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 Certified: 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, bolthires Lake, and Spark. Proficiency in bolthires/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 rowCompensation Details: $70-100/hour Apply tot his job