AIML Computational Science Analyst (All Genders)

Your Mission

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 DevOps & MLOps pipelines for training and production and ensuring quality value and reliability of deployed systems.

Your Daily 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

Who You Are

• Bachelors Degree in Computer Science Computer Engineering Data Science or a related field

• Work or coursework experience with machine learning engineering or machine learning science deploying models in production at scale including monitoring alerting automatic bug filing and auditing.

• Experience in applying theoretical foundations of computer science including computer system architecture system engineering and programming

• 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 LLMs 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