Jobs

Senior NLP/ML engineering role at an AI-native contact-center platform using large language models and conversational intelligence.

Lead applied research in LLMs, generative AI, and multimodal models; design autonomous agentic systems.

Develop production-ready AI/ML applications using cloud AI services and GenAI models; requires 5+ years experience and LLM skills.

Build and deploy end-to-end ML models for prediction, recommendation, search and growth using Python/Java/C++ and TensorFlow or PyTorch.

Lead AI engineering initiatives at Applied Materials, supporting semiconductor and advanced engineering solutions.

Develop enterprise AI capabilities for the Autonomous Knowledge Platform, connecting data, knowledge and business context for agentic use cases.

Build autonomous agents using Python, FastAPI, Google ADK and MCP; the posting asks for 7–10 years experience.

Build applied ML solutions for fintech use cases with an emphasis on practical data science and machine learning.

Architect autonomous agentic AI workflows, Python/Airflow ETL, serverless APIs, RAG, and vector-database solutions at enterprise scale.

Design and productionize ML and LLM-powered detection systems with NLP, RAG, scalable inference, Kafka/Spark pipelines, MLOps and model monitoring.

Architect and own server-side logic, database architecture and cloud infrastructure using Go and Node.js.

Define scalable AI-enabled product architecture for modernization, cloud adoption, integrations and reusable AI engineering patterns.

Own enterprise AI/GenAI architecture across RAG, embeddings, vector databases, hybrid search, agentic AI, governance, observability and LLMOps.

Design and deliver applied AI architectures end-to-end as a transformation-oriented, forward-deployed technical leader.

Lead enterprise AI architecture and solution design in an actively hiring architect role based in Pune.

Build backend platform infrastructure supporting communications AI workloads in a senior engineering role.

Design statistical, ML and generative/agentic AI solutions spanning RAG pipelines, assistants, classification, forecasting and recommendation systems.

Lead scalable generative-AI architectures including LLMs, agentic systems, RAG/vector databases, fine-tuning, evaluation and MLOps; 12+ years experience.

Deploy, automate, maintain and monitor production ML models, including pipelines, CI/CD, cloud deployment and MLOps/LLMOps; 10+ years experience.

Build and maintain ML inference pipelines, model-serving workflows, evaluation systems and production ML capabilities.