Data Scientist

Senior Generative AI Developer (Lead - Data Science)

Gurgaon / Noida | 7-10 Years Experience

About the Role

Senior Generative AI Developer

Key Responsibilities

Technical Leadership

• Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for performance-cost optimization.
  
• Design and scale training pipelines using

  FSDP, DeepSpeed

  on GPU/TPU clusters.

Cloud-Native AI Development

• Build and manage

  multi-cloud GenAI platforms

  (Azure OpenAI, GCP Vertex AI, AWS Bedrock) with unified MLOps.
• Implement enterprise-grade security:

  VPC peering, private endpoints

  , and regulatory compliance (e.g., data residency).

Innovation & Strategy

• Drive pioneering initiatives such as

  Agentic workflows

  , real-time fine-tuning, and

  synthetic data generation

  .
• Define and execute

  AI governance

  : model cards, drift monitoring, red-teaming protocols.

Cross-Functional Impact

• Collaborate with product and business teams to define GenAI strategy and

  ROI metrics

  (e.g., automation cost savings).
• Mentor junior engineers and promote GenAI best practices across the organization.
  

Required Qualifications

• Education

  : Bachelors/Master’s in CS, AI/ML, or equivalent experience.

• Experience

  : 5+ years in ML, 2+ years specifically in Generative AI.

Technical Mastery

• Languages

  : Expert in Python

• Frameworks

  : PyTorch, TensorFlow Extended (TFX), ONNX Runtime

• Certifications

  : Azure AI Engineer Expert, GCP ML Engineer (preferred)

GenAI Expertise

• Experience shipping production-scale GenAI systems (e.g., 10k+ QPS chatbots, GitHub Copilot-scale models).
  
• Mastery of advanced LLM techniques (LLM orchestration, guardrails, self-reflective prompting).
  

Must-Have Experience

• Azure

  : Azure OpenAI, MLOps Pipelines, Cognitive Search

• GCP

  : Vertex AI Evaluation, Gemini Multimodal, TPU v5 Pods
• Built RAG systems using

  hybrid search

  (vector + keyword) and real-time data hydration
• Led

  AI compliance

  in regulated domains (finance, healthcare)

Preferred Additions

• Experience with

  multi-cloud GenAI deployments

  (e.g., training on GCP, serving on Azure).
• Certification in Azure and/or GCP AI tracks.
  
• Exposure to

  autonomous agents, vector databases

  , and AI-driven business automation.