Senior Applied AI Researcher (India)
Core
End-to-end research and production deployment of domain-specific GenAI models, agentic systems, and multimodal understanding for regulated industries.
Role type
Senior Applied AI Researcher (GenAI/LLMs)
Builds
Domain-specific models, autonomous agentic reasoning systems, multimodal understanding pipelines, knowledge graph pipelines, and production-ready AI systems.
Domain
Generative AI, Large Language Models, Reinforcement Learning, Multimodal Learning, Knowledge Graphs, Distributed Systems.
Deliverable
production ML models
Required skills
Multi-stage model training (pretraining, fine-tuning, post-training), Reinforcement Learning from Human Feedback (RLHF), Distributed training at scale, Python software engineering, Domain-specific model adaptation, Multimodal learning, Knowledge-grounded generation, Retrieval-augmented systems
Preferred skills
Specialized domain model adaptation, Prototype-to-production track record, Knowledge graph construction, Hybrid retrieval architectures, Structured reasoning systems, Cloud-native ML infrastructure
Technologies
DeepSpeed, FSDP, Megatron-LM, Kubernetes, GPU clusters
Responsibilities
Orchestrate end-to-end research programs using massively parallel agentic AI, Lead multi-stage training pipelines and domain adaptation, Design and train multimodal systems and knowledge graph pipelines, Build agent-orchestrated data curation and training infrastructure, Mentor AI Researchers in agentic paradigms, Compress research-to-production cycles via automated testing and evaluation
Seniority
Senior, hands-on IC
