

Sr. Data Scientist Generative AI
Sr. Data Scientist Generative AI
Atlanta GA
Onsite
Full time Permanent Role
WORK EXPERIENCE AND EDUCATION REQUIREMENTS:
Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
Ph.D preferred.
Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
Strong background in machine learning, deep learning, and probabilistic modeling.
Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
Experience designing and implementing large-scale data pipelines and processing systems.
Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
Strong programming skills in Python and experience working with version control systems (Git).
Excellent communication and teamwork skills.
Experience mentoring junior colleagues and interns.
Job Types: Full-time, Part-time, Contract, Temporary
Pay: $165,000.00 - $185,000.00 per year
Expected hours: 40 per week
Benefits:
401(k)
Dental insurance
Health insurance
Schedule:
8 hour shift
Work Location: In person
Sr. Data Scientist Generative AI
Atlanta GA
Onsite
Full time Permanent Role
WORK EXPERIENCE AND EDUCATION REQUIREMENTS:
Master's degree in Computer Science, Statistics, Mathematics, or a related field required.
Ph.D preferred.
Proven experience (3-5 years) as a Data Scientist or Machine Learning Engineer, with experience in deploying Generative AI based solutions in production.
Experience working on cutting-edge technologies to solve problems using Retrieval Augmented Generation (RAG), Fine tuning LLMs, Prompt tuning, Graph RAGs, Knowledge graphs, etc.
Strong background in machine learning, deep learning, and probabilistic modeling.
Proficiency in modern data science tools and frameworks, such as PyTorch, Tensorflow, JAX, Scikit-learn, and Keras.
Experience designing and implementing large-scale data pipelines and processing systems.
Experience working with server-side frameworks like FastAPI as well as API development, documentation, and versioning.
Familiarity with cloud platforms (AWS, GCP, or Azure), CI/CD tools (Jenkins) and containerization technologies (Docker, Kubernetes).
Strong programming skills in Python and experience working with version control systems (Git).
Excellent communication and teamwork skills.
Experience mentoring junior colleagues and interns.
Job Types: Full-time, Part-time, Contract, Temporary
Pay: $165,000.00 - $185,000.00 per year
Expected hours: 40 per week
Benefits:
401(k)
Dental insurance
Health insurance
Schedule:
8 hour shift
Work Location: In person