Senior / Lead ML Engineer

RESPONSIBILITIES:
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
memory systems
* Develop and optimize ML models, pipelines, and orchestration logic

REQUIREMENTS:
* 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 (Google Cloud Platform)
* 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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