Job Details
Engineer, AI & Data
2025-10-10 Han IT Staffing Atlanta,TX
Description:
Role: Engineer, AI & Data
Location: Atlanta, Bellevue, WA or Dallas TX (On Site)
Contract Role
Role and responsibilities:
5+ years of experience in AI/ML and Data Scientist roles.
Extensive experience with Azure cloud platforms and Databricks.
Extensive experience in Python, PySaprk
Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc
Extensive experience in Prompt Engineering
Experience with ML Frameworks
Design, develop, and optimize robust data pipelines for structured, semi-structured, and unstructured data.
Build and maintain data warehouses, data lakes, and real-time streaming systems.
Implement data quality, lineage, and governance best practices.
Develop, train, and deploy machine learning models for predictive analytics, recommendation systems, classification, NLP, and other business problems.
Collaborate with data scientists to translate prototypes into production-ready systems.
Integrate AI services (LLMs, computer vision, speech, or custom ML models) into applications.
Explore datasets, identify trends, and generate insights for stakeholders.
Work closely with business teams to understand requirements and design data-driven solutions.
Design for high availability, scalability, and security in AI and data platforms.
Use modern MLOps/DataOps practices for CI/CD, monitoring, and lifecycle management.
Work cross-functionally with software engineers, DevOps, product managers, and analysts.
Document data flows, model architectures, and operational guidelines.
Strong understanding of statistical modeling, NLP, and deep learning.
Excellent problem-solving and communication skills.
Good Experience in MLOps and model lifecycle management.
Version control (Git) and CI/CD pipelines.
Location: Atlanta, Bellevue, WA or Dallas TX (On Site)
Contract Role
Role and responsibilities:
5+ years of experience in AI/ML and Data Scientist roles.
Extensive experience with Azure cloud platforms and Databricks.
Extensive experience in Python, PySaprk
Extensive experience in building Generative AI applications using LLMs like Open AI, Gemini, etc
Extensive experience in Prompt Engineering
Experience with ML Frameworks
Design, develop, and optimize robust data pipelines for structured, semi-structured, and unstructured data.
Build and maintain data warehouses, data lakes, and real-time streaming systems.
Implement data quality, lineage, and governance best practices.
Develop, train, and deploy machine learning models for predictive analytics, recommendation systems, classification, NLP, and other business problems.
Collaborate with data scientists to translate prototypes into production-ready systems.
Integrate AI services (LLMs, computer vision, speech, or custom ML models) into applications.
Explore datasets, identify trends, and generate insights for stakeholders.
Work closely with business teams to understand requirements and design data-driven solutions.
Design for high availability, scalability, and security in AI and data platforms.
Use modern MLOps/DataOps practices for CI/CD, monitoring, and lifecycle management.
Work cross-functionally with software engineers, DevOps, product managers, and analysts.
Document data flows, model architectures, and operational guidelines.
Strong understanding of statistical modeling, NLP, and deep learning.
Excellent problem-solving and communication skills.
Good Experience in MLOps and model lifecycle management.
Version control (Git) and CI/CD pipelines.