Lead Data Scientist

Atyeti Inc; Northern (KY); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Atyeti Inc is seeking an experienced Data Scientist to design and deploy AI and Machine Learning models. The ideal candidate should have strong skills in model development, with a focus on Large Language Models (LLMs) and Generative AI applications.

Applicants should have a Bachelor's or Master's degree in a relevant field and 6+ years of experience in AI/ML roles. The position offers the opportunity to collaborate with cross-functional teams, mentor junior staff, and stay current with the latest AI technologies.

Qualifications

• 6+ years of experience as a Data Scientist or similar role.
• Strong hands-on experience in AI and Machine Learning.
• Experience with ML libraries and frameworks.

Responsibilities

• Design and deploy scalable AI and Machine Learning models.
• Develop predictive and optimization models using diverse data.
• Collaborate with cross-functional teams to deliver solutions.

Skills

Artificial Intelligence

Machine Learning

Python

Data Science

SQL

Cloud Platforms

Problem-Solving

Communication Skills

Education

Bachelor's or Master's degree in a relevant field

Tools

Scikit-learn

TensorFlow

PyTorch

XGBoost

Job description

Key Responsibilities

• Design, build, and deploy scalable AI and Machine Learning models to solve complex business problems.
• Develop predictive, classification, recommendation, and optimization models using structured and unstructured data.
• Build and fine‑tune Large Language Models (LLMs) and Generative AI applications for enterprise use cases.
• Develop Retrieval‑Augmented Generation (RAG) solutions and prompt engineering strategies.
• Collaborate with cross‑functional teams including business stakeholders, data engineers, and application developers to deliver AI‑driven solutions.
• Evaluate model performance and continuously optimize models for accuracy, scalability, and reliability.
• Stay current with emerging AI technologies, research, and industry best practices.
• Document models, methodologies, and deployment processes following enterprise standards.
• Mentor junior data scientists and contribute to AI best practices within the team.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• 6+ years of experience as a Data Scientist or in a similar AI/ML role.
• Strong hands‑on experience in Artificial Intelligence and Machine Learning model development.
• Experience building, training, validating, and deploying ML models in production environments.
• Hands‑on experience with Large Language Models (LLMs) and Generative AI technologies.
• Experience with prompt engineering, embeddings, vector databases, and Retrieval‑Augmented Generation (RAG).
• Strong programming skills in Python.
• Experience with ML libraries and frameworks such as Scikit‑learn, TensorFlow, PyTorch, XGBoost, or similar.
• Experience with SQL and data manipulation techniques.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong analytical, problem‑solving, and communication skills.