AI/Machine Learning Data Engineer

Role Overview

• Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives
• API Development & Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models.
• Vectorization & Embeddings: Expertise in vector databases and semantic search.
• Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio
• Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365
• Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices
• Provide second
• and third-level support for AI-related incidents, enhancements, and deployments
• Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads
• Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption
• Mentor and support business users and citizen developers in building and scaling AI-powered solutions
• Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement
• Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity
• Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy
• Maintain and enforce change control processes.
• Assist in developing and maintaining operational standards and best practices.
• Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response.
• Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives.
• Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise).
• Perform other duties as required and/or assigned.

Requirements

• Applicants must be legally authorized to work in the United States and/or Canada without the current or future need for employer-sponsored work authorization.
• Bachelor’s Degree in Technology Industry is preferred or equivalent work experience
• High School Diploma/ GED is required
• Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
• Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred).
• Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
• Data Warehousing: Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
• Agentic Frameworks: Knowledge of AI agent frameworks and orchestration (e.g., LangChain).
• LLMs & Generative AI: Strong understanding of Large Language Models, fine-tuning, and RAG pipelines.
• Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI
• Familiarity with MLOps practices and tools for model lifecycle management and monitoring
• Understanding of responsible AI principles, including fairness, transparency, and data privacy
• Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape
• Experience with cloud-based development environments, particularly Microsoft Azure
• Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response
• Excellent communication skills (both written and oral) combined with strong interpersonal skills.
• Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment.

Tech Stack

• Azure
• Cloud
• GraphQL
• Python
• SQL
• VMware

Benefits

• Opportunities that fit your lifestyle and ambitions—whether you’re looking for part-time flexibility or full-time career advancement