Role: Senior Data Scientist - Generative AI
Location: Atlanta, GA (Hybrid - 3 days in office, 2 days remote)
Duration: Long Term Contract
JD:
Key Responsibilities:
- Design, develop, and deploy generative AI models for applications in text generation and semantic entity extraction.
- Collaborate with stakeholders to define project scopes, identify business needs, and implement data-driven solutions.
- Mentor junior data scientists and interns, providing guidance on best practices and industry standards.
- Stay informed about the latest research and advancements in Generative AI and apply new techniques to ongoing projects.
- Work closely with engineering and product management teams to integrate AI models into production environments.
- Ensure all models and solutions meet quality, performance, and security standards.
- Document models, algorithms, and processes, maintaining clear and organized records.
- Communicate complex technical concepts to both technical and non-technical audiences effectively.
Qualifications:
- Master’s degree in Computer Science, Statistics, Mathematics, or a related field (required); Ph.D. preferred.
- 3-5 years of experience as a Data Scientist or Machine Learning Engineer, with a focus on Generative AI solutions.
- Experience with technologies like Retrieval Augmented Generation (RAG), fine-tuning LLMs, prompt tuning, Graph RAGs, and knowledge graphs.
- Proficiency with deep learning frameworks such as PyTorch, TensorFlow, JAX, and Scikit-learn.
- Experience designing and implementing large-scale data pipelines and working with server-side frameworks like FastAPI.
- Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (e.g., Jenkins), and containerization technologies (Docker, Kubernetes).
- Strong programming skills in Python and experience with version control systems (Git).
- Excellent communication skills, with experience collaborating across teams and mentoring junior colleagues.