Senior Data Scientist - R
Senior Data Scientist - R
Posted on :
07-07-2025
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1 Vacancy
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Job Description
Data Science Lead
Primary Skills
- Problem Formulation (Business problem to Data Science Problem) OKR Validation against statistical measures Data Wrangling Data Storytelling & Insight Generation Problem Solving Excel VBA Data Curiosity Technical Decision Making (How many iterations to go for vs when to stop iterating) Communication & Articulation: Vocal & Written Business Acumen (Consume new domains quickly to learn through data) Design Thinking Data Literacy
Job requirements
- JD is below: The Agentic AI Lead is a pivotal role responsible for driving the research development and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph leading initiatives to build multi-agent AI systems that operate with greater autonomy adaptability and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration knowledge graphs reinforcement learning (RLHF/RLAIF) and real-world AI applications. As a leader in this space they will be responsible for designing scaling and optimizing agentic AI workflows ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities 1. Architecting & Scaling Agentic AI Solutions Design and develop multi-agent AI systems using LangGraph for workflow automation complex decision-making and autonomous problem-solving. Build memory-augmented context-aware AI agents capable of planning reasoning and executing tasks across multiple domains. Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization Develop and optimize agent orchestration workflows using LangGraph ensuring high performance modularity and scalability. Implement knowledge graphs vector databases (Pinecone Weaviate FAISS) and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research Lead cutting-edge AI research in Agentic AI LangGraph LLM Orchestration and Self-improving AI Agents. Stay ahead of advancements in multi-agent systems AI planning and goal-directed behavior applying best practices to enterprise AI solutions. Prototype and experiment with self-learning AI agents enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact Translate Agentic AI capabilities into enterprise solutions driving automation operational efficiency and cost savings. Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building Lead and mentor a team of AI Engineers and Data Scientists fostering deep technical expertise in LangGraph and multi-agent architectures. Establish best practices for model evaluation responsible AI and real-world deployment of autonomous AI agents.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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