Azure Generative AI and ML Engineer

We are seeking a highly skilled Azure AI / ML Engineer to design, develop, and deploy advanced AI solutions on Microsoft Azure, AWS and soon GCP.

In this role, you will work closely with other AI engineers, software developers, and product stakeholders to build scalable, secure, and high-performance AI systems that drive business outcomes. Success in this position looks like performing rapid proof-of-concepts, moving successful outcomes to an MVP, then delivering production-ready AI solutions that improve decision-making, automate complex tasks, and generate measurable impact for the organization.

This role is critical to advancing our AI strategy and integrating cutting-edge technology into our products and services.

Responsibilities

• Design, develop, and deploy machine learning models using Azure Machine Learning (Azure ML), Azure OpenAI, Gemini and related services
• Build and maintain scalable data pipelines to prepare data for AI / ML models, using tools like Azure Data Factory and MS Fabric
• Collaborate with product teams to translate business requirements into AI / ML solutions that deliver clear value
• Optimize model performance, monitor drift, and manage the lifecycle of AI models in production
• Implement responsible AI practices including fairness, explainability, and compliance with ethical guidelines
• Automate model training, testing, and deployment workflows using Azure DevOps and MLOps practices
• Stay current with advances in Azure AI services, generative AI, LLMs, and emerging trends to recommend innovative solutions
• Document technical designs, workflows, and best practices to enable knowledge sharing across the team
• Follow standard DevOps practices with ADO and Github

Qualifications

Skills:

• Strong programming skills in Python, C# .NET
• Proficiency with Azure ML, Azure OpenAI, Azure AI Search, and AI Foundry
• Strong experience with LLMs, RAG, AI Agents, vector db, embeddings, LangChain, Semantic Kernel
• Experience with MLOps tools such as Azure DevOps, GitHub Actions, or MLflow
• Strong understanding of machine learning algorithms, deep learning, and statistical modeling
• Excellent problem-solving and communication skills

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field

Experience:

• 2–3+ years of experience developing and deploying AI / ML solutions, with at least 2 years on Azure
• Experience working in agile teams and collaborating cross-functionally
• Sorry we're unable to hire students or recent graduates

Certifications (preferred but not required):

• Microsoft Certified: Azure AI Engineer Associate
• Microsoft Certified: Azure Data Scientist Associate

Industry

• IT Services and IT Consulting

Employment Type

• Full-time