AI/ML Computational Scientist Manager

Job Summary

Design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. Combine custom models with cloud and third-party AI services to deliver production-ready outcomes across the full solution lifecycle, from assessing client needs to ensuring quality and reliability of deployed systems.

Responsibilities

• Translate real-world business problems into practical, efficient, and scalable AI and machine learning solutions
• Develop and implement machine learning algorithms, models, and computational systems with scalable data pipelines supporting model training and production using DevOps and MLOps
• Customize and apply Deep Learning and Generative AI models for various use cases based on business needs, data availability, and infrastructure requirements including edge devices and HPC
• Conduct research and development of new AI and high-performance compute algorithms, models, and simulations to solve complex business problems at client sites
• Work with large-scale datasets and apply data preprocessing techniques to ensure high-quality input for training and production
• Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
• Demonstrate and justify the business value of model approaches
• Collaborate with cross-functional teams including business stakeholders, engineers, architects, and designers to achieve end-to-end project goals and production integration

Must haves

• Bachelor’s Degree or equivalent
• Proven experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing
• Considerable experience applying theoretical foundations of computer science including computer system architecture, system engineering, and programming
• Experience with distributed computing systems and architecture including big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, and distributed networks
• Experience building and deploying AI/ML-based software to a cloud environment

Nice to haves

• Proficiency in Python and Python-based AI/ML frameworks with familiarity with relevant libraries and frameworks such as TensorFlow and PyTorch
• Experience working with language models including LLM APIs and optimizing their usage for specific applications
• Experience with programming languages including Python, C++, Java, R, and SQL
• MS or PhD in a related field such as computer science or engineering
• Strong written and verbal communication skills with ability to communicate complex technical concepts to non-technical stakeholders
• Strong client-facing skillsets in a consulting environment and cross-functional collaboration abilities
• Entrepreneurial mindset with curiosity and passion for emergent technology and driving innovation

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