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Microsoft Senior Applied AI Engineer 
United States, Washington 
626852476

16.07.2024

Required Qualifications:

  • Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • o OR equivalent experience.
  • 4+ years experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
  • Experience in working with LLMs (Large Language Models) and OSS GenAI (agent-based) frameworks
  • Experience in SecDevOps and MLOps/AIOps Experience in shipping at least 1 large scale ML/AI-based services or applications preferably in the security domain on cloud platforms (Azure, AWS, GCP, etc.)


Other Requirements:Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check:
- This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

  • Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
      • OR equivalent experience

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until August 11, 2024.


Responsibilities:

  • Driven AI-based service delivery in collaboration with Applied Researchers and product teams
  • Design and build secure and robust ML- and GenAI-based cloud services
  • Architect and implement scalable systems for AIOps for production environments
  • Participate in the AI experimentation and observation platform development for continuously improvement of AI models and experiences
  • Collaborate with senior technical staff of Copilot for Security and other Microsoft Security products

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