Machine Learning Engineer

• Design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed
• Write and integrate automated tests alongside models or code to ensure reproducibility, scalability, and alignment with established quality standards
• Implement best practices in security, pipeline automation, and error handling using programming and data manipulation tools
• Identify and implement the right data-driven approaches to solve ambiguous and open-ended business problems, leveraging data engineering capabilities
• Research and implement new models, technologies, and methodologies and integrate these into production systems, ensuring scalability and reliability
• Apply creative problem-solving techniques to design innovative tools, develop algorithms and optimized workflows
• Independently manage and optimize data solutions, perform A/B testing, evaluate performance and evaluate performance of systems
• Understand technical tools and frameworks used by the team, including programming languages, libraries, and platforms and actively support debugging or refining code in projects
• Contribute to the design and documentation of AI/ML solutions, clearly detailing methodologies, assumptions, and findings for future reference and cross-team collaboration
• Collaborate across teams to develop and implement high-quality, scalable AI/ML solutions that align with business goals, address user needs, and improve performance

AI/ML Engineer

Manager, Machine Learning

Lead AI Engineer

Senior Staff ML Researcher – LLM Algorithmic Optimization

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Lead AI/ML Engineer – DocAI