Principal Applied AI Engineer

The Business & Industry Copilots (BIC) group is a rapidly growing organization that is responsible for the Microsoft Dynamics 365 suite of products, Microsoft Copilot Studio, Power Apps, Power Automate, Dataverse, AI Builder, Microsoft Industry Solution and more.

• Lead the design and development of advanced AI models and agentic systems for real-world applications.
• Own and drive end-to-end model training, including data pipeline design, distributed training optimization, and performance evaluation.
• Stay up to date with the latest advancements in LLM, NLP, deep learning, search, and AI research.
• Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups.
• Drive innovation by staying current with the latest research, technologies, and best practices in AI/ML, and Translate research breakthroughs into production-ready algorithms, contributing to core capabilities such as search, planning, and long-term memory.
• Collaborate closely with engineering, product, and research teams to productionize models, build scalable, robust pipelines, and provide support for in production AI Models/Agents
• Collaborate with stakeholders to define project goals, success criteria, and deliverables.
• Lead end-to-end lifecycle of machine learning models, from prototyping and implementation to evaluation, deployment, and monitoring.
• Mentor junior applied scientists and provide technical leadership across high-impact projects, foster a collaborative and innovative work environment.
• Driving the team's strategic vision, contribute to the organization's scientific direction and align it with the overall company objectives, influencing roadmaps and long-term vision.
• Conduct applied science experiments, create and validate metrics, develop ML pipeline and modeling algorithm in the area of Large Language Models, Natural Language Processing, Information Retrieval, and Machine Learning.
• Conduct experiments to evaluate model performance, troubleshoot issues, and iterate improvements.
• Develop and deploy conversational and language understanding models at scale.
• Following and advancing best practices for Responsible AI and Privacy Preserving Machine Learning.
• Drive thought leadership, architecture for high scale, high throughput, low latency inferencing.
• Drive AI projects through their entire life cycle from idea creation through applied research, implementation, experimentation and finally to worldwide availability.
• Be involved in the onboarding process for new team members, providing guidance and support as they join the team.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
• OR master’s degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience
• 2+ years’ experience with transformer-based models (e.g., GPT, Llama)
• 2+ years’ experience in coding and design, specifically in the development of AI models for scaled production services
• 2+ years’ experience in shipping applied research to production, highlighting a track record of combining coding skills with advanced expertise in AI model development

• Industry leading healthcare
• Educational resources
• Discounts on products and services
• Savings and investments
• Maternity and paternity leave
• Generous time away
• Giving programs
• Opportunities to network and connect

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