AI Engineer

• Higher degree (PhD preferred) in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Bioinformatics, or related field.
• 5+ years in at least 2 AI domains: NLP, NLG, Computer Vision, Machine Learning, GenAI etc.
• Hands-on experience with fine-tuning/training LLMs and complex Graph RAG solutions (production environment).

Technical Skills:

• Extensive knowledge of cloud services and tools (Azure & Databricks preferred), ), including Azure Machine Learning, Vertex AI, AI Search, Databricks, Mosaic ML, Genie, Webapps, Azure Service Bus, Azure DevOps, Azure CLI, Azure AI services, App Insights, and Azure OpenAI.
• Extensive knowledge of LLM Python libraries: langchain, langGraph, promptflow, semantic kernel, Autogen, graphRag, promptflow
• Good software engineering background, (developing application, API, frontend integration, security best practices, experience with fastAPI, Asyncio is a plus).
• Strong experience with Gen AI model deployment and monitoring (CI/CD, Weight&Biases GitHub pipelines is a plus).
• Advanced understanding of security, compliance, and ethical considerations in AI.

Desirable skills/knowledge/experience: Soft Skills:

• Demonstrate a combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypotheses through the discovery phase of the project.

Strong problem-solving abilities.

• Excellent collaboration & communication skills to report back complex findings in a clear, structured manner.

Certifications:

• Relevant certifications in AI and machine learning such as Azure AI Engineer Associate are a plus.