AI Engineer

Role name: AI Engineer
Location can be Atlanta, Bellevue, WA or Dallas TX. (On Site)
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, PySpark
• 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.