senior AI/ML Computational Scientist

Senior AI/ML Computational Scientist Career Level: Senior Manager / Associate Director YOU ARE As a senior 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 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 * 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'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.)