Data Scientist
1 week ago
About the job Data Scientist - Gen AI
Job Title: Data Scientist - GenAI (Manager)
Location: Atlanta, GA
Work Experience: 10+ Years
Open for both Contract and FTE
Job Summary:
We are seeking an accomplished and forward-thinking Data Science Manager with expertise in Generative AI to lead our Data Science team. In this role, you will drive the strategy, development, and deployment of enterprise-grade GenAI solutions, including LLM-based applications, RAG pipelines, and model fine-tuning. You will guide a team of data scientists and engineers while collaborating with cross-functional stakeholders to deliver impactful AI products that transform business processes.
Key Responsibilities
- Lead and mentor a team of data scientists in designing, building, and deploying Generative AI solutions across domains such as customer service, document automation, summarization, and knowledge retrieval.
- Define the roadmap and strategy for GenAI adoption, ensuring alignment with business goals.
- Oversee the fine-tuning and adaptation of foundation models with domain-specific data.
- Drive the design and implementation of scalable RAG pipelines, embedding models, and vector database integrations (e.g., FAISS, Pinecone, ChromaDB).
- Establish best practices for prompt engineering, model evaluation, and bias mitigation.
- Partner with product, engineering, and MLOps teams to deliver end-to-end AI workflows and deploy them via APIs or applications.
- Stay ahead of emerging trends in LLMs, transformers, and GenAI, ensuring continuous innovation and competitive advantage.
- Represent the Data Science team in leadership forums, communicating technical concepts and business impact clearly.
- 10+ years of experience in Data Science / Machine Learning, including 3+ years leading teams and hands-on work in LLMs / Generative AI.
- Proven track record of delivering enterprise AI solutions from concept to production.
- Strong expertise in Python and ML/AI frameworks (Transformers, LangChain, PyTorch, TensorFlow, Hugging Face).
- Experience with LLMs (e.g., GPT-4, Claude, Mistral, LLaMA) and GenAI ecosystems (LangChain, LlamaIndex, PromptFlow).
- Knowledge of embedding models, semantic search, and vector databases.
- Familiarity with AWS and MLOps practices.
- Strong leadership, people management, and stakeholder management skills.
- Excellent communication skills with the ability to influence technical and non-technical audiences.
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