Senior GenAI Engineer

Please share resume to rajesh at delviom dot com

W2 hiring and H1T can also apply 

only locals to Woodlawn, MD needed 

Required Skills

• Must be able to obtain and maintain a public trust clearance
• Candidate must be willing to work on-site in Woodlawn, MD 5 days a week
• Master’s and 5+ years of experience, Bachelor’s and 7+ years of experience or 13+ years in lieu of a degree
• Proficiency in utilizing Microsoft Azure services, with a focus on AI and ML services such as Azure OpenAI, Azure AI Search, and Azure Vision.
• Understanding of fundamental AI and RAG concepts for developing generative AI applications.
• Commitment to ethical AI development, ensuring adherence to principles like fairness, transparency, accountability, and privacy in AI applications.

• Proficient in Python and familiar with current best practices and recent language features.  Experience with Python web frameworks for building APIs and backend services.
• Strong experience in implementing and consuming RESTful web services.    Solid experience with software development best practices, including unit testing, continuous integration with tools like Jenkins, and version control with Bitbucket.
• Experience with containerization and orchestration tools like Docker and OpenShift will be beneficial for deployment and scaling applications.
• Familiarity with Azure DevOps for automating builds, testing, and deployment processes within Azure.
• Understanding of compliance and security best practices within Azure, especially concerning handling sensitive data such as personal disability information.
• How To Stand Out From The Crowd (Desired Skills)
• Familiarity with the Azure OpenAI API and its capabilities for natural language processing (NLP) and generative modeling is highly desirable.
• Mastery of Azure AI services beyond the basics, including Azure Machine Learning, Azure Cognitive Services, Azure Databricks, and Azure Synapse Analytics, would make you a valuable asset. This includes understanding how to leverage these services in combination with Azure OpenAI frameworks for enhanced functionality and scalability.
• Ability to preprocess, clean, and manipulate data for RAG ingestion.
• Hands-on experience deploying generative AI models into production environments on Azure infrastructure is highly desirable. Understanding deployment considerations such as containerization, orchestration, monitoring, and security ensures smooth integration of AI solutions into real-world applications.
• Proficiency in C# and Java.
• Delivery (CI/CD) best practices and use of DevOps to accelerate quality releases to Production.
• Familiarity with data science tools, libraries, and frameworks (e.g., Jupyter Labs/Notebooks, pandas, PyTorch) is a strong plus.
• Awareness of issues and trends in Generative AI and Pythonic use of these is desirable.

Thank you

Rajesh