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Data Scientist (Gen AI and Agentic AI)

Tata Consultancy Services
Dhahran, KSA
Full-time
Mid-Senior
Onsite
Discovered 6 days ago
Machine LearningPredictive AnalyticsTime Series ForecastingLarge Time Series Models (Chronos, TimesFM, Moirai)Generative AILLMs

Full Job Posting

Profile

A next-generation Data Scientist evolving from Traditional ML & Time Series Analytics to Generative AI and Agentic AI, capable of building intelligent, autonomous enterprise solutions.

Core Skills

  • Machine Learning, Predictive Analytics, Time Series Forecasting
  • Large Time Series Models (Chronos, TimesFM, Moirai)
  • Generative AI, LLMs, Prompt Engineering
  • Agentic AI, Multi-Agent Systems (LangGraph, CrewAI, AutoGen)
  • RAG, Knowledge Graphs, Vector Databases
  • Python, FastAPI, Docker, Kubernetes
  • Enterprise AI Integration and Explainable AI

Key Responsibilities

  • Develop predictive and forecasting models using traditional ML and Time Series techniques.
  • Design and implement GenAI and Agentic AI solutions.
  • Build AI Copilots, autonomous agents, and decision-support systems.
  • Integrate enterprise data, knowledge graphs, and business applications.
  • Deliver scalable, secure, and explainable AI solutions.

About TCS

Tata Consultancy Services is an IT services, consulting and business solutions organization partnering with large businesses for over 50 years.

TCS delivers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services through its Location Independent Agile delivery model.

Application Notes

  • Application Deadline: 20-November-2026.

Requirements

  • Machine Learning, Predictive Analytics, and Time Series Forecasting skills.
  • Experience with Large Time Series Models such as Chronos, TimesFM, or Moirai.
  • Generative AI, LLMs, and Prompt Engineering skills.
  • Agentic AI and Multi-Agent Systems experience (LangGraph, CrewAI, AutoGen).
  • RAG, Knowledge Graphs, and Vector Databases experience.
  • Python, FastAPI, Docker, and Kubernetes skills.
  • Enterprise AI Integration and Explainable AI capabilities.

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