Full Time :: Data scientist :: Onsite in NC

Job Description Must Have Technical/Functional Skills Primary: Artificial intelligence/AI Secondary: Python, NLP, Agile tools Job Overview: 5+ years of experience in Data Engineering, ML Engineering, AI Engineering, or Software Engineering. Strong proficiency in Python, SQL, and one additional programming language (Scala/Java/Go). Hands-on experience designing AI agents, toolchains, and agent frameworks (LangChain, Semantic Kernel, LlamaIndex, AutoGen, etc.). Strong understanding of LLM integration, function-calling patterns, prompt engineering, and agent orchestration. Experience deploying ML models using MLflow, Azure ML, SageMaker, Kubeflow, or similar. Proficiency in TensorFlow, PyTorch, Scikit-Learn, or equivalent ML frameworks. Experience building scalable data pipelines using Spark, Databricks, or similar technologies. Strong knowledge of RAG patterns, vector databases (FAISS, Pinecone, Chroma, Milvus, Redis), and embedding optimization. Experience with CI/CD pipelines, automated testing, code reviews, and deployment automation. Familiarity with containerization (Docker) and orchestration (Kubernetes). Experience integrating AI agents with enterprise APIs, microservices, and workflow systems.