senior AI/ML Computational Scientist

Senior AI/ML Computational Scientist YOU ARE

If you're a senior AI/ML Computational Scientist, you will design, build, and operationalize AI and ML 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 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

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing and auditing.
• Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
• Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks.
• Established 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 APIs and optimizing their usage for specific applications.
• Experience with 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.).