Business Development Manager

Key Skills

Aartificial intelligence, AWS, Azure, Business Development, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, Google Cloud Platform (GCP), Machine learning techniques, MLOps tools, Python Programming, PyTorch, TensorFlow

Job Description

Overview

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

The Microsoft Artificial Intelligence (AI) Co-Innovation laboratories in Business Development provide a unique environment for partners and customers in artificial intelligence, global automation, robotics, to rapidly ideate and prototype their future technologies from silicon to cloud and from data to Machine Learning models.

The Business Development Manager Artificial Intelligence Consultant in the AI and Emerging Technologies Business Development organization provides an exceptional opportunity to manage delivering corporate level governance for highly strategic growth opportunities with internal and external stakeholders, alliance formations, ecosystem development and help pioneer customer engagements with responsibility for the project management and the hands-on operations of the AI Co-Innovation laboratories.

Qualifications

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Computer Vision or related field AND 3+ years relevant work experience as a programmer with software engineering experience and excellent debugging skills.
• OR equivalent experience.
• Experience with Machine Learning, especially Deep Learning.
• 3+ years of Python experience. 
• 1+ years of experience with Machine Learning Frameworks such as PyTorch and TensorFlow.
• Hands on experience developing AI solutions in a cloud environment such as Azure, AWS, or Google Cloud Platform (GCP).

Additional or Preferred Qualifications

• Hands-on experience working on at least one of the following:
• Experience in optimizing model performance, model surgery such as rewriting model graphs, fixing input sizes and masking approaches.
• Experience with Continuous Integration/Continuous Delivery (CI/CD) for Machine Learning Operations (MLOps).

Responsibilities

• Architect customers and partners solution using Microsoft and Microsoft’s partner AI Tools.
• Provide world class Code-With experience with customers and partners coming to the onsite lab locations, as well as virtually through Microsoft Teams or other tools.
• Integrate Large Language Model (LLM) and other large models to run on devices
• Develop algorithms based on and supporting LLMs
• Integrate models, datasets, tests and training code to our lab environment, and/or partner environment.
• Capture and summarize customer and partner feedback, signals, use case trends.
• Collaborate with engineering and product development teams.
• Industry Expertise: Develop industry expertise including competitive and market dynamics, product and technology trends.