Mid/Senior Azure Data Engineer & Gen AI Specialist

About

• Location: Arlington, VA (Fully Remote)
• Work Hours: Fully Remote, supporting EST hours
• Hiring Status: Mid-level or Senior Candidate Accepted
• Recruitment Process: Video interview process
• Eligibility: USC (U.S. Citizen), GC (Green Card), or GC EAD only

Key Responsibilities

• Build bespoke advanced AI solutions for clients and internal teams leveraging Generative AI (GenAI) techniques.
• Develop and translate computer algorithms into prototype code; maintain, organize, and identify trends in large data sets.
• Design SQL databases, create process documentation, and develop technical solutions to improve data access and usage.
• Utilize Python and Azure Synapse for real-time business metric aggregation, data warehousing, querying, schema, and data management.
• Design, develop, and implement high-performance Python coding focused on efficiency, scalability, and performance.
• Collaborate with data scientists, machine learning engineers, and stakeholders to define objectives and deliver data-driven solutions.
• Troubleshoot, debug, and optimize generative AI system performance.
• Conduct unit, integration, and system testing; document results and conduct code reviews.
• Maintain version control and document all processes to ensure quality and replicability of generative models.

Required Qualifications

• Minimum 5 years of experience in Data Science projects (preferably in GenAI).
• Experience with Azure (Azure Data Factory, Azure Databricks, and Fabric preferred).
• Advanced Python skills.
• Expert in SQL database design.
• Advanced proficiency in Numpy and Pandas.
• Advanced level on PyTorch and TensorFlow within the Azure ecosystem.
• Generative AI (GenAI) experience strongly preferred.
• Familiarity with Data Modeling, Warehousing, and ETL processes.

Preferred Qualifications (Nice To Have)

• Azure Certification.
• Background in System Testing and Performance Optimization.