Brillio

Senior Data Science Lead - R01551335

Brillio$120K — $160K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in AI and data science
  • Expertise in LLM orchestration and knowledge graphs
  • Hands-on development in reinforcement learning methodologies
  • Proficient with LangGraph for AI systems
  • Strong background in statistical analysis and AI workflows
  • Experience with multiple AI frameworks and tools
  • Leadership experience in guiding technical teams

Responsibilities

  • Architect and scale agentic AI solutions for complex decision-making
  • Develop multi-agent systems for workflow automation and autonomous problem-solving
  • Optimize agent orchestration workflows ensuring performance and scalability
  • Lead research in Agentic AI and next-gen automation technologies
  • Translate AI capabilities into enterprise solutions for efficiency and cost savings
  • Mentor and establish best practices for AI engineers and data scientists
  • Prototype self-learning agents that adapt based on real-time feedback

Benefits

  • Opportunity to lead cutting-edge AI research projects
  • Engagement in innovative technology applying to real-world scenarios
  • Working with a multi-disciplinary team of experts
  • Professional development and mentorship opportunities
  • Participation in shaping the future of enterprise AI solutions
Full Job Description
Senior Data Science Lead
Primary Skills
  • Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio
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 3 Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. 3 Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. 3 Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization 3 Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. 3 Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. 3 Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research 3 Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. 3 Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. 3 Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact 3 Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. 3 Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building 3 Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. 3 Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.

About Brillio

Brillio is a technology consulting and technology services company focused on the implementation of digital technologies.

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Learn more about Brillio
Industry
Founded
2014

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