Tech Stack

Description

You will design, develop, and deploy end-to-end data science solutions, including ML models and Generative AI techniques, to drive business impact across various domains. You will collaborate with cross-functional teams to analyze data, build predictive models, and integrate solutions into scalable systems.

Requirements

• 4+ years experience in Python for data science and ML
• 2+ years experience with SQL and REST APIs
• Solid experience building and deploying ML models and pipelines
• Strong understanding of GenAI tools: LLMs, RAG, vector databases, prompt design
• Advanced English proficiency

Responsibilities

• Design, develop, and deploy ML models for production use, covering full ML lifecycle
• Apply statistical analysis and ML techniques to solve complex business problems
• Implement Generative AI techniques including LLMs, RAG, vector databases, prompt engineering
• Build and consume RESTful web services to integrate ML models
• Collaborate on ML pipeline deployment using CI/CD and MLOps practices