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Data Scientist - R01555533
Data Scientist - R01555533Brillio • Edison, NJ, US
Data Scientist - R01555533

Data Scientist - R01555533

Brillio • Edison, NJ, US
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Job Description

Job Description

Data Scientist

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

Specialization

  • Data Science Advanced : Data Specialist

    • Job requirements

  • JD : 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 oDesign and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. oBuild memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. oDefine 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

    • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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