Applied AI Engineer

Microsoft is hiring for the role of Applied AI Engineer!

Responsibilities of the Candidate:

  • Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs.
  • Build and debug production-grade code in distributed systems 
  • Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact 
  • Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring.
  • Own deployment, quality and operation of AI systems, including automated testing, CI/CD pipelines, deployment, and monitoring with strong MLOps and DevOps practices.
  • Troubleshoot live site issues as part of both product development and live site support rotations, ensuring rapid resolution and learning.
  • Ensure high reliability and performance of applications and services through intelligent monitoring, alerting, and proactive failover strategies. 

Requirements:

  • Master’s Degree in Computer Science or related technical field AND 1+ years technical engineering experience with coding in languages C#, Java preferably. 
  • Bachelor’s Degree in Computer Science or related technical field
  • AI & Domain Expertise: Deep expertise in one or more AI domains, with a proven track record of deploying and scaling AI models in cloud environments. 
  • MLOps & LLMOps: Strong experience with MLOps workflows (CI/CD, monitoring, retraining pipelines) and familiarity with modern LLMOps frameworks.
  • Cloud & Infrastructure: Skilled in building and operating infrastructure using Azure, AWS, or Google Cloud, and deploying containerized models with Docker, Kubernetes, or similar tools. 
  • Engineering Excellence: Passion for building high-quality, reliable, and maintainable software with strong coding and debugging practices.
  • Collaboration & Communication: Excellent verbal, written, and cross-team communication skills; a collaborative team player across time zones and diverse stakeholder groups.
  • Experience with customers success, zero trust security and compliance
  • Experience with proficient coding, debugging, and problem-solving skills 

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