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Sr. Data Scientist Generative AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist specializing in Generative AI, requiring a Master's degree (Ph.D. preferred) and 3-5 years of relevant experience. Key skills include proficiency in Python, machine learning frameworks, and cloud platforms. Location: Atlanta, GA, onsite. Pay: $165,000 - $185,000 per year.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
840
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Atlanta, GA 30302
🧠 - Skills detailed
#FastAPI #AI (Artificial Intelligence) #Computer Science #Keras #TensorFlow #AWS (Amazon Web Services) #Azure #Python #Statistics #Documentation #Jenkins #Programming #GCP (Google Cloud Platform) #PyTorch #Deep Learning #Docker #Data Pipeline #GIT #API (Application Programming Interface) #Data Science #Mathematics #ML (Machine Learning) #Knowledge Graph #Kubernetes #Version Control #Cloud
Role description
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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