What are the responsibilities and job description for the Data Scientist position at Cherry Bekaert Recruiting & Staffing Services?
Our client is seeking a Data Scientist for a direct hire opportunity.
Responsibilities
- :Design and deploy production-ready AI systems that leverage LLMs and advanced M
- LBuild and maintain multi-agent systems and agentic orchestration workflows using frameworks like LangChain, LangGraph, or AutoGe
- nDevelop and optimize Retrieval-Augmented Generation (RAG) pipelines, ensuring high-fidelity context retrieva
- lImplement and extend MCP (Model Context Protocol) servers to allow LLMs to interact safely and efficiently with local and remote data source
- sArchitect robust, scalable APIs and microservices to serve AI features to end-users with low latenc
- yCollaborate with product partners and other scientists to identify new opportunities to apply AI / ML to product
- sConduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservice
- sImplement rigorous testing and evaluation frameworks for LLM outputs to ensure prompt stability, prevent regressions, and manage hallucination ris
- kContribute towards the common data science platfor
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Requiremen
- ts5 years of experience developing AI / ML applicatio
- nsSubstantial depth and breadth in NLP, Deep Learning, Generative AI, LLMs, and other state of the art AI /
- MLExperience with LLM orchestration frameworks such as LangChain, LlamaInd
- exExpert-level knowledge of LLM APIs (OpenAI, Anthropic Claude) and open-source models (Llama, Mistra
- l)Deep understanding of CS fundamentals and computational complexi
- tyExperience with building large-scale distributed systems in an agile environment and the ability to build quick prototyp
- esExcellent knowledge of Python and core data science and AI libraries including Pandas, NumPy, PyTorc
- h,Experience building or utilizing Model Context Protocol (MCP) serve
- rsStrong background in scalable backend environments (Docker, Kubernetes, AWS/GC
- P)Experience moving AI from prototype to production-grade services with monitoring, logging, and rate-limiti
- ngAbility to independently conduct research and develop appropriate algorithmic solutions to complex business proble