Experience-5+ Years
About the Role:
We are hiring a Senior AI/ML Engineer specializing in Natural Language Processing (NLP) and
Generative AI to join our high-impact AI Solutions team, focused on delivering advanced,
production-grade AI solutions in the Electrification domain. In this role, you will work at the frontier
of AI innovation—designing and developing Retrieval-Augmented Generation (RAG) pipelines, fine tuning LLMs, and building Agentic AI systems that are robust, scalable, and insightful.
Responsibilities:
- Design, develop, and optimize NLP-driven AI solutions using state-of-the-art models and
- techniques (NER, embeddings, summarization, etc.).
- Build and productionize RAG pipelines and agentic workflows to support intelligent, context aware applications.
- Fine-tune, prompt-engineer, and deploy LLMs (OpenAI, Anthropic, Falcon, LLaMA, etc.) for
domain-specific use cases.cases.settings.models.maintainability.Required Qualifications:Master’s or Bachelor’s degree in Computer Science, Machine Learning, AI, or a related field.5+ years of overall experience in AI/ML, with at least 2+ years in NLP and 1–2 years in GenerativeAI.Strong understanding of LLM architectures, fine-tuning methods (LoRA, PEFT), embeddings, andvector search.Experience in designing and deploying RAG pipelines and working with multi-step agentarchitectures.Proficiency in Python and frameworks like LangChain, Transformers (HuggingFace),LlamaIndex, SmolAgents, etc.Familiarity with ML observability and explainability tools (e.g., TruEra, Arize, WhyLabs).Knowledge of cloud-based ML services like AWS Sagemaker, AWS Bedrock, Azure OpenAIService, Azure ML Studio, and Azure AI Foundry.Preferred Qualifications:Experience in integrating LLM-based agents in production environments.Understanding of real-time NLP challenges (streaming, latency optimization, multi-turndialogues).Familiarity with LangGraph, function calling, and tools for orchestration in agent-based syst
- Collaborate with data scientists, backend developers, and cloud architects to build scalable AI first systems.
- Evaluate and integrate third-party models/APIs and open-source libraries for generative use
- Continuously monitor and improve model performance, latency, and accuracy in production
- Implement observability, performance monitoring, and explainability features in deployed
- Ensure solutions meet enterprise-level requirements for reliability, traceability, and
Pay: ₹1,000,000.00 - ₹2,000,000.00 per year
Work Location: In person
