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TalynceTalynce
Find JobsFor CandidatesCandidate PortalContact
TalynceTalynce

AI-powered recruitment automation for modern hiring teams.

Product

  • For Employers
  • For Candidates
  • Features
  • Pricing
  • API Docs

Company

  • About
  • Blog
  • Research
  • Jobs
  • Careers
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  • Cookie Policy
  • Cancellation & Refund
  • Subscription Changes

© 2026 Talynce AI. All rights reserved.

Talynce.com is a product of Cosette Network.

Back to all jobs
EXL

Data Scientist

Punehybrid3.0 - Any years₹0L - ₹22.00L

Apply for this position

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Actively hiring

Name & contact details are extracted from your resume automatically.

By applying you agree to our Privacy Policy & Terms

Job Description

Job Details

Position : Data Scientist (LLM, Agentic AI, Vertex AI) Experience : 3 + years Location : Min 3 days working in office. Location could be Noida, Gurugram, Pune and Bangalore General Shift : 12-10 pm shift. (depending on project one should be flexible with working hours/ shift)

Job Description

Key Responsibilities:

  • Fine-tune and adapt open-source LLMs, Implement multi-modal LLM orchestration for text, vision, and audio processing workflows
  • Develop hybrid LLM solutions integrating OpenAI/Claude APIs with open-source models
  • Build sophisticated AI agents using LangChain, LangGraph, AutoGen, and Google's Vertex AI Agent Builder
  • Design and implement multi-agent systems with complex workflows, memory management, tool integration, and retry mechanisms
  • Orchestrate multi-modal AI pipelines handling diverse data types and model interactions
  • Establish comprehensive LLMOps pipelines for model versioning, monitoring, and automated deployment
  • Implement MLOps best practices using Google Cloud AI Platform, Vertex AI etc.
  • Develop robust APIs using FastAPI and containerize applications with Docker/Kubernetes
  • Deploy, monitor, and scale AI solutions on Google Cloud Platform, AWS, or Azure

Good to have

  • Experience with Google Cloud AI/ML services for agentic orchestration (Vertex AI, AI Studio, AutoML)
  • Familiarity with Google's ML frameworks (TensorFlow, JAX, Flax)
  • Knowledge of Google Cloud infrastructure (GKE, Cloud Run, Cloud Functions)
  • Solid experience with cloud deployment and management (GCP preferred, AWS/Azure)
  • Knowledge of CI/CD pipelines, infrastructure as code, and monitoring tools
Skills

Required

google cloudvertex aidockerawsazurefastapi

Preferred

langchainlanggraphautogengoogle cloud aitensorflowjaxflaxgkecloud runcloud functions
Back to all jobs
EXL

Data Scientist

Punehybrid3.0 - Any years₹0L - ₹22.00L

Apply for this position

All fields marked * are required

Actively hiring

Name & contact details are extracted from your resume automatically.

By applying you agree to our Privacy Policy & Terms

Job Description

Job Details

Position : Data Scientist (LLM, Agentic AI, Vertex AI) Experience : 3 + years Location : Min 3 days working in office. Location could be Noida, Gurugram, Pune and Bangalore General Shift : 12-10 pm shift. (depending on project one should be flexible with working hours/ shift)

Job Description

Key Responsibilities:

  • Fine-tune and adapt open-source LLMs, Implement multi-modal LLM orchestration for text, vision, and audio processing workflows
  • Develop hybrid LLM solutions integrating OpenAI/Claude APIs with open-source models
  • Build sophisticated AI agents using LangChain, LangGraph, AutoGen, and Google's Vertex AI Agent Builder
  • Design and implement multi-agent systems with complex workflows, memory management, tool integration, and retry mechanisms
  • Orchestrate multi-modal AI pipelines handling diverse data types and model interactions
  • Establish comprehensive LLMOps pipelines for model versioning, monitoring, and automated deployment
  • Implement MLOps best practices using Google Cloud AI Platform, Vertex AI etc.
  • Develop robust APIs using FastAPI and containerize applications with Docker/Kubernetes
  • Deploy, monitor, and scale AI solutions on Google Cloud Platform, AWS, or Azure

Good to have

  • Experience with Google Cloud AI/ML services for agentic orchestration (Vertex AI, AI Studio, AutoML)
  • Familiarity with Google's ML frameworks (TensorFlow, JAX, Flax)
  • Knowledge of Google Cloud infrastructure (GKE, Cloud Run, Cloud Functions)
  • Solid experience with cloud deployment and management (GCP preferred, AWS/Azure)
  • Knowledge of CI/CD pipelines, infrastructure as code, and monitoring tools
Skills

Required

google cloudvertex aidockerawsazurefastapi

Preferred

langchainlanggraphautogengoogle cloud aitensorflowjaxflaxgkecloud runcloud functions