Engineer

Databricks Machine Learning Engineer

Must Have Technical / Functional Skills We are looking for a highly skilled and passionate Databricks Machine Learning Engineer to build scalable ML pipelines, automating training and deployment, managing model lifecycle with MLflow.

Responsibilities :

• Collaborate closely with data scientists, data engineers, and business stakeholders to gather requirements and understand the business objectives driving model development.
• Develop various methods for implementing feature engineering techniques Preprocess and transform large datasets, selecting appropriate algorithm
• Leveraging Databricks MLflow for experiment tracking and model management
• Build robust pipelines that automate the training, validation, and deployment of models.
• Monitor Model performance and collaborating closely with data scientists and stakeholders to finetune models
• Migrate on Prem Pyspark, SAS data pipeline and ML Models to Databricks
• Define and implement ML best practices in Databricks
• Evaluate new Databricks ML features and tools, helping the organization stay at the forefront of innovation in AI and Big Data
• Explore AI and Gen AI solutions for business requirements and implement various solutions.

Qualifications :

Salary Range- $100,000-$130,000 a year

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