Senior / Lead ML Engineer

Kforce has a client seeking a remote Senior ML Engineer to join their team in Atlanta, GA. They are looking for a senior data scientist/agentic AI architect with heavy ML/MLops experience (strong Python) who can evaluate and implement models that are provided by the enterprise. They are really searching for someone who can analyze the models and select which model can be used for which situation. The Senior/Lead ML Engineer will need deep ML knowledge but will not be building models from scratch, but potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows). Responsible for:

• Lead the design and development of an Agentic AI platform
• Architect and implement core systems for agent-based AI workflows
• Design and deploy LLM-based pipelines, agent orchestration, and vector-based

• Develop and optimize ML models, pipelines, and orchestration logic
• Programming Languages: Proficiency in Python is essential.
• Agentic AI : Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
• Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
• Cloud Platforms: Familiarity with Google Cloud Platform (GCP)
• Data Engineering: Proficiency in data preprocessing and feature engineering
• Version Control: Experience with GitHub for version control
• Data Science Practices: Skills in building models, testing/validation, and deployment
• Collaboration: Experience working in an Agile framework
• RAG Architecture: Experience with data ingestion, data retrieval, and data generation using optimal methods such as hybrid search