ML Databricks
18 hours ago
Years of Exp: 7 to 10+ yrs
Notice Period: Immediate-15 Days Max
Location: Pune or Bangalore or Chennai (Pune Preferred)
Work Mode: Hybrid
Required Skillset:
Total experience should be 7+ years
Relevant Experience in Azure DataBricks – 5+ Must
Key Mandatory Skills – DataBricks, Automate Machine Learning Pipelines using Databricks, Train and retrain ML Models,(Listing Classifier OR PAN or Sci-Pi).
Technical skills and
competencies
We are looking for a Machine Learning Engineer to focus on training
and retraining existing ML models using Databricks, hosted entirely on
the AWS cloud platform. The role involves creating and managing
automated workflows for model retraining and integrating with
BigQuery for data extraction and preprocessing. The ideal candidate
will have experience working with Databricks on AWS, automating
training workflows, and handling data from Google BigQuery.
Candidate Profile and
Competencies
• Train and retrain existing ML models using Databricks on AWS.
• Develop and maintain automated workflows for model retraining.
• Extract and preprocess data from Google BigQuery for training
cycles.
• Optimize training processes for efficiency and scalability within
the AWS environment.
• Collaborate with data engineers and data scientists to ensure data
quality and model performance.
Experience
• 5+ years of relevant experience in Databricks / ML Ops
• Strong experience with Databricks on AWS and training ML models.
• Proficiency in automating workflows using Databricks notebooks and
pipelines.
• Experience with data extraction and processing using Google
BigQuery.
• Knowledge of Python, PySpark, and ML libraries (e.g., TensorFlow,
scikit-learn).
•Familiarity with cloud-based data solutions, especially within
the AWS ecosystem.
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