Senior/Lead Data Scientist

RESPONSIBILITIES:

Kforce has a client that is seeking a fully remote Senior/Lead Data Scientist to join their team.

Summary:

The client is looking for someone 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 candidate will need deep ML knowledge but will not be building models from scratch. Potentially making them more efficient, implementing them, analyzing them and assisting with metrics and future plans with a focus on agentic AI (workflows).

Responsibilities:

• Lead the design and development of an Agentic AI platform; Deep expertise in machine learning, system architecture, and AI agent frameworks to build scalable, autonomous systems
• 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
• Drive technical strategy, tooling, and infrastructure decisions
• Architect and implement agentic AI systems leveraging Google Cloud Platform services (Vertex AI, Big Query, Cloud Functions, Pub/Sub, etc.)

REQUIREMENTS:

• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, and AutoML
• Generative AI: Hands-on experience with generative AI models, RAG architecture, and Natural Language Processing (NLP)
• Version Control: Experience with GitHub for version control
• 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
• Cloud Platforms: Familiarity with Google Cloud Platform (Google Cloud Platform)
• Data Engineering: Proficiency in data preprocessing and feature engineering
• Programming Languages: Proficiency in Python is essential
• Agentic AI: Expertise in LangChain/LangGraph, CrewAI, Semantic Kernel/Autogen and Open AI Agentic SDK
• Data Science Practices: Skills in building models, testing/validation, and deployment

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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