Data Science and AI Strategist

1 day ago

Gurgaon, Haryana, India beBeeDecision Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About the Role:

We are seeking an experienced AI Decision Science Professional to lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows.

This position requires expertise in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, and AI Agent Orchestration frameworks.

The ideal candidate will have a deep understanding of AI safety, alignment, and governance principles for autonomous systems and experience with enterprise-grade AI agent deployments and production system management.

Key Responsibilities:

  • Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures
  • Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously
  • Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs
  • Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities
  • Leverage Advanced Data Science Techniques: develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs)
  • Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments
  • Develop and Implement AI Models: build and deploy AI models and Generative AI applications; train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy; evaluate model performance and implement iterative improvements
  • Solution Integration and Deployment: collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability; utilize cloud platforms like AWS, Azure, or GCP for model development and deployment
  • Innovation and Knowledge Sharing: stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks; document methodologies and findings for effective knowledge sharing

Professional & Technical Skills:

  • Must To Have Skills: expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks
  • Cloud & Infrastructure: AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems
  • Specialized Knowledge: NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems
  • Experience in developing and AI/ML models

Job Qualifications:

  • Experience: minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment
  • Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record

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