Senior AI/ML Computational Scientist

h3YOU ARE /h3 pAs 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 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. /p h3THE WORK /h3 ulliFormulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions /li /ul ulliDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps MLOps /li /ul ulliCustomize 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 /li /ul ulliEngage 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 /li /ul ulliWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production /li /ul ulliImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools /li /ul ulliJustify the value of model approaches in business problems /li /ul ulliCollaborate 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 /li /ul h3EDUCATION /h3 ulliBachelor's Degree or equivalent /li /ul h3BASIC (REQUIRED) QUALIFICATION /h3 ulliSignificant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. /li /ul ulliSolid experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming /li /ul ulliConsiderable 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 /li /ul ulliProfessional experience in building and deploying AI/ML based software to a cloud environment. /li /ul h3PREFERRED QUALIFICATION /h3 ulliProficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. /li /ul ulliExperience working with language models like LLM's APIs and optimizing their usage for specific applications. /li /ul ulliExperience with the following programming languages: Python, C++, Java, R, SQL /li /ul ulliStrong written verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders /li /ul ulliStrong client-facing skillsets in a consulting environment /li /ul ulliStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams /li /ul ulliEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation /li /ul ulliMS or PhD in related field preferred (computer science, engineering, etc.). /li /ul