Key Responsibilities

• Build and deploy machine learning models including Regression, Classification, Clustering, and Tree-based models
• Work with NLP and Generative AI solutions including LLMs, embeddings, prompt engineering, and RAG frameworks
• Handle data extraction, transformation, and loading using SQL and cloud platforms
• Leverage distributed computing tools such as PySpark and Databricks for large-scale data processing
• Collaborate with cloud platforms (AWS, Azure, or GCP) to deploy and maintain ML pipelines
• Present analytical insights and model outcomes to business stakeholders
• Manage multiple business requirements in a fast-paced environment

Requirements

• 2–5 years of experience in Data Science or a related field
• Bachelor's or Master's degree in Engineering, Statistics, Mathematics, or other relevant quantitative domains
• Strong programming skills in Python including Pandas, NumPy, and Scikit-learn
• Proficiency in SQL and data handling
• Hands-on experience with ML algorithms: Regression, Classification, Clustering, Tree-based models
• Experience in NLP or Generative AI (LLMs, embeddings, prompt engineering, RAG frameworks preferred)
• Experience with cloud platforms: AWS, Azure, or GCP
• Familiarity with distributed computing tools such as PySpark and Databricks
• Strong problem-solving and analytical thinking skills
• Excellent communication skills with ability to present to business stakeholders

Skills Required