AI and Machine Learning Jobs

Design, develop and deploy production AI/ML and GenAI solutions; build scalable ML architectures, apply MLOps on cloud platforms and establish monitoring, governance and reliability controls. ...read more

Build scalable ML platforms and workflows to help research teams train, deploy and manage models; productionize classical ML, NLP, protein-language and LLM applications for drug discovery and development. ...read more

Design scalable Python backend services, APIs and microservices; build event-driven systems, data pipelines and cloud deployments with Kafka/RabbitMQ, databases, Docker/Kubernetes and observability. ML/LLM integration is a plus. ...read more

Lead and mentor a cross-functional engineering team; drive delivery and architecture for full-stack products using Node.js, TypeScript, React, MySQL, Elasticsearch and AWS, with AI-assisted engineering practices. ...read more

Listed approximately 1 hour before verification. Machine-learning science role based in Bengaluru; consult the live application listing for detailed responsibilities and qualifications. ...read more

Listed approximately 2 hours before verification. Lead client-facing automation work, design and deliver solutions that streamline operations, reduce manual effort and improve process performance. ...read more

Listed approximately 2 hours before verification. Lead enterprise customer onboarding and data integration, translating fragmented security environments into a unified risk model and operationalising customer data in the platform. ...read more

Listed approximately 2 hours before verification. Develop data science and agentic AI capabilities for enterprise revenue workflows. The role is hybrid and candidates must be based in India. ...read more

Listed approximately 2 hours before verification. Associate-level data science role focused on machine learning; review the live listing for detailed responsibilities and qualifications. ...read more

Listed approximately 4 hours before verification. Build customer-facing AI agents, integrations, automations and knowledge-graph workflows; implement SaaS/non-SaaS integrations through APIs, webhooks and real-time communication architectures. ...read more