Data Scientist

Role Overview

We are seeking a highly skilled and innovative Data Scientist with 4-6 years of experience in AI/ML development, backend services, and GenAI applications. You will break new ground by developing production-grade solutions using LangChain, LlamaIndex, and vector databases, while architecting Agentic AI systems across multi-cloud environments.

Responsibilities

• Develop and deploy AI/ML models using Python for analytical and backend service applications.
• Architect and implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LangGraph, and vector databases like FAISS, Pinecone, or Weaviate.
• Leverage Generative AI models such as OpenAI, Anthropic, and LLaMA with advanced prompt engineering.
• Design and implement Agentic AI workflows using LangGraph for autonomous decision-making and multi-agent collaboration.
• Build and manage data pipelines and ML lifecycle workflows using Databricks, Azure, and AWS.
• Deploy scalable solutions on AWS (Lambda, S3, Step Functions), Azure (Functions, ML Studio), and GCP (Cloud Functions, BigQuery).
• Implement MLOps practices using MLflow and CI/CD pipelines.
• Collaborate with DevOps teams using GitLab for version control and infrastructure automation.
• Ensure security and compliance (GDPR, HIPAA) across AI pipelines.

Requirements

• Strong proficiency in Python for AI/ML and backend development.
• Proven experience with LangChain, LangGraph, and vector databases.
• Deep understanding of Generative AI models and Agentic AI design patterns.
• Proficiency with Databricks, MLflow, and cloud services across AWS, Azure, and GCP.
• Familiarity with MLOps, CI/CD, and DevOps tools like GitLab, Docker, and Kubernetes.
• Knowledge of NLP techniques and Deep Learning frameworks like PyTorch or TensorFlow.
• Bachelor’s or Master’s in Computer Science, Data Science, or a related field.

Skills

• Python
• LangChain
• AWS
• MLflow
• PyTorch