Core Responsibilities

• Design machine learning systems and models and implement algorithms. 
• Analyze large, complex datasets to extract insights and decide on the appropriate techniques and algorithms suitable for the task. 
• Run machine learning tests and experiments.
• Design robust machine learning systems that can handle a combination of data types. 
• Leverage state-of-art generative AI toolsets (RAG, prompts, etc.) to solve complex natural language problems.
• Build data and model pipelines for transparency and governance.
• Lead the design and implementation of AI solutions, leveraging Microsoft's AI services.
• Participate in fast-paced proof-of-concepts to refine solution design. 
• Stay up to date with the latest advancements in AI and ML technologies.

Required Qualifications

• Bachelor's degree in computer science, Mathematics, Engineering, Data Science, or related field; Master's or PhD preferred.
• Proven experience as a Machine Learning Engineer or similar role.
• Deep knowledge of math, probability, statistics, and algorithms.
• Ability to write robust code in Python, C#, or another language.
• Expertise with deep learning frameworks for natural language processing 
• Experiences with language foundation models and techniques to customize foundation models to specific use cases
• Familiarity with CI/CD in model lifecycle management
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries
• Understanding of data structures, data modeling, and software architecture.
•  Outstanding analytical and problem-solving skills.

Preferred Experience 

• Experience designing, building, and maintaining solutions in commercial cloud platforms like Microsoft Azure.
• Excellent knowledge of CI/CD concepts and tools such as Azure DevOps / GitLab.
• Experience with data engineering and data science workflows.
• Passion for continuous learning and staying at the forefront of AI advancements.

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