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AI Engineer

Skills
Computer ScienceAmazon Web ServicesAnalyticsConnectorsDatabasesDriftLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • 2-5 years combined experience in software engineering ML and/or MLOps
  • Proven success deploying AI/ML models in Microsoft or AWS environments
  • Strong proficiency in Python and ML frameworks such as Scikit-learn PyTorch or TensorFlow
  • Hands-on experience with Microsoft Copilot Studio Power Automate and Power Apps
  • Experience deploying AI pipelines in AWS SageMaker or Azure ML
  • Familiarity with LLM-based copilots agent orchestration and prompt engineering
  • Bachelor’s or Master’s degree in Computer Science Data Science or a related technical field

Nice to have

  • Security-minded
  • Collaborative
  • Detail-oriented
  • Innovative
  • Mentoring ability

Day to day

  • Design, develop, deploy, and maintain enterprise-grade AI and machine learning solutions across Microsoft Copilot Studio, Power Platform, and AWS environments.
  • Build custom copilots and intelligent agents that automate workflows and connect securely to enterprise data and APIs.
  • Create and operationalize ML pipelines, monitor models and agents, and ensure solutions are scalable, compliant, and aligned to business needs.