AI and Machine Learning Jobs

Lead ServiceNow engineering for AI-driven enterprise apps and workflows, integrating ML, NLP, predictive analytics and ServiceNow AI capabilities. The role includes customer-facing implementations and technical leadership. ...read more

Forward-deployed AI/ML engineers for a large global client; develop, train and deploy predictive models, LLM applications and agentic systems, integrating cloud, ETL, big-data and database platforms. Requires 3-6 years. ...read more

Design, train and deploy production ML models; build APIs and microservices to serve models, develop ingestion/training pipelines, and monitor production performance. Requires 4+ years (or an equivalent master's route) with Python and PyTorch/TensorFlow/scikit-learn. ...read more

Build AI-enabled applications, platform services and developer tooling for TransUnion's AI Platform & Innovation team. Work with microservices, APIs, event-driven systems, cloud and GenAI-enabled services; the Bengaluru role is hybrid. ...read more

Research multimodal reinforcement learning for text, image and audio systems; build scalable RL infrastructure, reward models, simulation and evaluation datasets, and optimize policies for multimodal architectures. The official remote location list explicitly includes Bengaluru. ...read more

Develop and fine-tune machine-learning, NLP and deep-learning models using Python, PyTorch, Hugging Face Transformers and scikit-learn; work on enterprise document/OCR processing and rigorous model evaluation. Requires 4–7 years of hands-on ML experience. ...read more

Build backend services for an enterprise conversational-AI platform, including session/state APIs, LLM and vector-database integrations, multimodal journeys, security, audit logging and observability. Requires Python, LangChain/LangGraph, Node.js, REST/gRPC, PostgreSQL and Redis; 0–3 years of backend experience. ...read more

Build and scale backend systems for a conversational-AI platform, including APIs for sessions and state, LLM/vector-database integrations, multimodal inputs and outputs, security, audit and monitoring. Requires Python, LangChain/LangGraph, Node.js, REST/gRPC, PostgreSQL and Redis; 3–4 years of backend experience. ...read more

Lead the Agents pod for consumer-AI journeys, owning roadmap, AI use-case discovery, functional and technical solution design, delivery, and agent quality/risk controls. Requires working knowledge of LLMs, RAG, tool calling, agent frameworks such as LangGraph or Bedrock Agents, APIs and enterprise integrations; 7–9 years of experience. ...read more

Lead Consumer AI delivery and agentic solutioning for lending journeys; own pod execution, roadmap, technical solution design, AI quality, governance and stakeholder alignment. Requires LLMs, RAG, AI agents, API integrations, data flows, compliance and team leadership; 10–12 years of experience. ...read more