| Urgent Need || Databricks Engineer || local to Chicago but working remote || at Chicago, Illinois, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2126414&uid= From: Abhishek Tripathi, Pransu tech Solutions [email protected] Reply to: [email protected] Title: Databricks Engineer Location: local to Chicago but working remote Duration: 3+ months (however, expectation is a long-term extension) Must Have: Need a strong Databricks engineering skills , they have machine learning pipelines pulling data from BigQuery doing modeling and imprints and pushing it back to BigQuery (Mandatory) - Supporting day to day databricks jobs, troubleshooting databricks pipelines, debugging Python/SQL code. (basic knowledge) - Databricks admin: Cluster management, cluster policies (addon) - Machine learning pipelines using mlFlow in Databricks Job Description: Position Summary: The Senior ML Ops Engineer is responsible for managing and optimizing machine learning operations and Databricks solutions in a dynamic and fast-paced environment. This role involves collaborating with data engineers, analysts, and data scientists to deliver robust and innovative AI solutions that enhance the Ulta guest experience. The successful candidate will oversee the entire machine learning lifecycle and develop real-time data pipelines on our Databricks Platform on GCP. Requirements for Consideration: 10 years of overall IT experience, with 3-5 years in MLOps and Databricks platform development in cloud environments (GCP preferred). Strong understanding of machine learning algorithms, model evaluation, and optimization techniques. Experience with best-in-class ML operations to monitor and maintain models in production and ensure top quality, stable predictions with high uptime. Proven track record of developing and deploying models on Databricks. Hands-on experience with big data technologies like Spark, BigQuery and Databricks. Experience with CI/CD processes for deploying ML services and applications using tools like Bitbucket, and Jenkins. Proficiency in Python programming language along with experience in SQL. Strong expertise in Databricks resource management, and performance optimization. Experience working on Databricks administration is a plus. Willingness to support off-hours production issues and code deployments as necessary, with minimal travel required Keywords: continuous integration continuous deployment artificial intelligence machine learning information technology Urgent Need || Databricks Engineer || local to Chicago but working remote || [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2126414&uid= |
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| 01:00 AM 30-Jan-25 |