Data Scientist R
Share
Job Location:
Edison, NJ - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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: & 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. -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. 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. 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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
Brillio is a global leader in Enterprise Digital Transformation Solutions, providing strategic consulting services and solutions using emerging technologies.
