[Hiring] Senior AI/ML Computational Scientist @Accenture

Role Description

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 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
• Ensuring quality, value, and reliability of deployed systems

Qualifications

• Bachelor's Degree or equivalent

Requirements

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing
• Solid experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Considerable 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
• Professional 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.)