AI/ML Computational Scientist Manager

YOU ARE

As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third\-party AI services to deliver production\-ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and MLOps/LLMOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

• Formulate real\-world problems into practical, efficient, and scalable AI and Machine Learning solutions
• Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps \& MLOps
• Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements \- including edge device and HPC
• Engage in research and development of new AI and high\-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites
• Work with large\-scale datasets and utilize 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
• Justify the value of model approaches in business problems
• Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end\-to\-end project goals and integrate into production

EDUCATION

• + Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• 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 in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• experience in distributed computing systems and architecture that may include big data, high\-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks
• experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

• Proficiency in Python and python\-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
• Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
• Experience with the following programming languages: Python, C\+\+, Java, R, SQL
• Strong written \& verbal communication skills and ability to communicate complex technical concepts to non\-technical stakeholders
• Strong client\-facing skillsets in a consulting environment
• Strong cross\-functional skills with the ability to collaborate with a variety of internal and client\-side teams
• Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
• MS or PhD in related field preferred (computer science, engineering, etc.)