Senior AI/ML Computational Scientist

Overview

As a Senior AI/ML Computational Scientist, you design and operationalize AI/ML solutions for enterprise clients, combining bespoke models with cloud and third-party services. You own the full solution lifecycle—from problem framing and model selection to scalable data pipelines, DevOps/MLOps, and production-grade deployment. You will work with DL, GenAI, and LLMs to deliver impact, guiding data preparation, model tuning, and system reliability. This role offers the chance to shape AI solutions at scale and collaborate across business and engineering teams.

Responsibilities

• Translate real-world problems into scalable AI/ML solutions.
• Develop and deploy ML models and scalable data pipelines with DevOps and MLOps.
• Customize DL and Gen AI models for diverse business use cases.
• Conduct R&D on AI/HP compute algorithms and simulations for client applications.
• Handle large-scale datasets with robust preprocessing for training/production.
• Implement and maintain data storage/retrieval for models and knowledge.
• Justify model approaches in business terms to stakeholders.
• Collaborate with cross-functional teams to deliver end-to-end projects and production integration.

Key requirements

• Significant experience as ML engineer/scientist deploying production-scale models with monitoring, alerts, and auditing.
• Strong foundations in computer science, system architecture, and programming.
• Experience with distributed computing, big data, HPC/engineering simulations, grid/cloud computing.
• Experience building and deploying AI/ML software to a cloud environment.

• Strong written and verbal communication
• Client-facing skills in a consulting context
• Cross-functional collaboration
• Python and Python-based ML frameworks (TensorFlow, PyTorch)
• Experience with LLM APIs and optimizing their usage
• Programming languages: Python, C++, Java, R, SQL

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