

Lead Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Lead Data Scientist" based in Tampa, FL, with a long-term contract. Key skills include LangGraph, multi-agent AI, LLM orchestration, reinforcement learning, and knowledge graph implementation. Requires hands-on experience deploying AI agents in production.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
June 17, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Tampa, FL
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π§ - Skills detailed
#Databases #Langchain #Scala #AI (Artificial Intelligence) #Strategy #Deployment #GCP (Google Cloud Platform) #Knowledge Graph #Data Science #Model Evaluation #Automation #Reinforcement Learning
Role description
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Hi ,
This is MazharΒ from Headway Tek, One of my Client is looking for βLead Data Scientist"Β let me know if you would like to move forward with the below position, so that we can have the ball rolling.
Job Title : Lead Data Scientist
Location : Tampa, FL (3days Onsite)
Duration : Long Term Contract
Job Description:
Key Responsibilities:
1. Architecting & Scaling Agentic AI Solutions
β’ Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving.
β’ Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains.
β’ Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications.
1. Hands-On Development & Optimization
β’ Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability.
β’ Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning.
β’ Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making.
1. Driving AI Innovation & Research
β’ Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents.
β’ Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions.
β’ Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops.
1. AI Strategy & Business Impact
β’ Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings.
β’ Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production.
1. Mentorship & Capability Building
β’ Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures.
β’ Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.
Required Skills & Experience
β
Strong hands-on experience with LangGraph and multi-agent AI development
β
Proficiency in LLM orchestration (LangChain, LlamaIndex, OpenAI Function Calling)
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Expertise in reinforcement learning (RLHF, RLAIF) and self-improving AI agents
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Knowledge graph construction & RAG implementation for enhanced agent reasoning
β
Experience deploying AI agents in production (GCP)
Warm Regards,
Syed Mazhar
Sr Talent Acquisition Specialist
(An eVerified Participant)
Address: 1159 Sonora Court, Suite 315 Sunnyvale, California 94086.
Email ID: Mazhar@headwaytek.com
Desk:Β 408-837-4044 ;Β Β Direct :Β 806-590-4303
Website: http://headwaytek.com
https://www.linkedin.com/in/syed-mazhar-mark-a2a328b2/