Senior AI/ML Computational Scientist

Accenture PLC; Brussel Hoofdstad; On-site; EUR 90,000 - 140,000; Full time

Job summary

Accenture PLC is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full lifecycle, from understanding client needs to deploying scalable models using Deep Learning, Gen AI, and LLMs, with robust MLOps pipelines in cloud environments.

You will tackle real-world problems, build data pipelines, optimize performance, and communicate complex concepts to stakeholders while collaborating with

Qualifications

• Significant experience deploying models in production at scale, with monitoring and auditing.
• Solid foundations in computer science and system engineering.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement machine learning models and data pipelines for training and production.

Skills

Machine learning

Model deployment

Distributed computing

Python

Cloud computing

MLOps

LLMs

DevOps

Data preprocessing

Communication

Education

Bachelor's degree or equivalent

MS/PhD preferred

Tools

TensorFlow

PyTorch

Cloud platforms (AWS/Azure/GCP)

Job description

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 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.

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.

• 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.).