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For everyone:
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Responsibilities
* Design, develop, and deploy Generative AI and Predictive AI applications.
* Build and optimize RAG pipelines, Agentic AI systems, and knowledge graphs for enterprise-scale solutions.
* Fine-tune, distill, and quantize LLMs to improve accuracy, latency, and efficiency.
* Develop and maintain AI workflows, ML pipelines, and LLMOps for production-ready deployments.
* Implement AI evaluation, benchmarking, and A/B testing frameworks to ensure reliability and performance.
* Integrate AI models with cloud (AWS, Vayu, etc.), microservices, Docker/Kubernetes, and CI/CD pipelines.
* Ensure AI governance, compliance, and security across LLM, applications, and infrastructure.
* Collaborate with cross-functional teams to align AI solutions with business goals and drive adoption of AI strategy.
* Stay ahead of AI trends and contribute through research, PoCs, publications, and open-source contributions.
* Ability to define and execute an AI strategy and roadmap.
* Experience in stakeholder communication, mentoring, and building high-performance AI teams.
* Skilled in data-driven decision-making, solution architecture, and project prioritization.
* Passion for innovation, IP creation, and fostering AI culture in organizations.
This job post is closed.