ML Databricks

18 hours ago


Pune, India ACL Digital Full time

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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