Job Description: Data Scientist / AI Engineer (Databricks, GCP)

Role Overview

We are looking for a skilled Data Scientist / AI Engineer with strong experience in Data Science, AI, and Generative AI on Databricks. The ideal candidate should have hands-on expertise in building regression, classification, and segmentation models and working with large-scale data using Python, PySpark, and SQL on GCP cloud environment.

This role focuses on developing scalable AI solutions, building intelligent data products, and delivering business insights through advanced analytics and Generative AI capabilities.

Key Responsibilities

• Build and deploy regression, classification, segmentation and other ML/AI models
  • Perform data exploration, feature engineering, and model evaluation
  • Develop predictive and prescriptive analytics solutions
  • Design end-to-end ML pipelines on Databricks
  • Work with large-scale data using PySpark and SQL
  • Build ETL pipelines on Databricks and Delta Lake
  • Deploy models on GCP infrastructure
  • Collaborate with business teams and stakeholders

Must Skills

• Python
  • PySpark
  • SQL
  • Machine Learning
  • Databricks
  • Data Analysis and Problem Solving

Preferred Skills

• GCP (Google Cloud Platform)
  • Generative AI and LLMs
  • BigQuery
  • MLflow
  • RAG and Prompt Engineering
  • MLOps and CI/CD

Experience

• 10-12 years in Data Science / AI / Machine Learning
  • Hands-on experience with Databricks
  • Experience in production ML model development

Education

• B.Tech / M.Tech in Computer Science, Electronics, AI, Data Science, Statistics, or related field

Ideal Candidate

• Strong analytical mindset
  • Business-focused
  • Self-driven and innovative
  • Strong collaboration and communication skills