AI and Machine Learning Jobs

Design and productionize data science and ML solutions for transaction analytics products using Python, PySpark and SQL, covering feature engineering, model validation, deployment and responsible AI. ...read more

Develop production-ready applications using AI tools and cloud AI services, integrating generative AI, deep learning, neural networks, chatbots and image processing. Requires 5+ years of experience; generative AI is the must-have skill. ...read more

Build and deploy production multi-agent AI systems, LLM applications, agentic workflows, RAG pipelines, tool-calling architectures, and AI-driven healthcare automation. Requires 4+ years of AI/ML or applied AI engineering experience. ...read more

Build production AI systems for content workflows, including prompt pipelines, multi-agent orchestration, open-source model serving, evaluations, data pipelines, and RAG. Listing shows ₹15L–₹28L. ...read more

Develop, train, evaluate, and deploy machine-learning models and AI services. Work includes deep learning, NLP/LLMs, model evaluation, data preparation, production APIs, and MLOps. Salary not disclosed. ...read more

Architect enterprise AI and GenAI applications, RAG pipelines, vector databases, multi-agent systems, API-first services, microservices, and AI-first SDLC practices. Listing shows ₹15L–₹20L. ...read more

Build scalable backend applications and AI-powered solutions using Java and Spring Boot; role calls for backend engineering, practical AI/agent experience, and product-focused delivery. Listing shows ₹10L–₹15L. ...read more

Design, build, and operationalize production AI solutions for client use cases; role spans data science, data engineering, software engineering, RAG, LangChain, and agentic AI delivery. Listing shows ₹16L–₹20L. ...read more

Develop AI-enabled applications and systems using cloud AI services and production-ready pipelines; integrate generative AI, deep learning, neural networks, chatbots and image-processing capabilities. Must-have skill listed: AI Agents & Workflow Integration. Minimum 5 years of experience. ...read more

Develop and deploy production-ready AI and machine-learning applications using cloud AI services, MLOps pipelines, generative AI, deep learning, neural networks, conversational agents, and image-processing systems. ...read more