AI/ML Computational Scientist

Accenture; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Accenture Amsterdam is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI solutions. You will span the full solution lifecycle—from problem framing and data assessment to model customization (including DL, Gen AI, LLMs) and scalable pipelines using DevOps & MLOps for production readiness.

You will work with large datasets, optimize model performance, and collaborate with business and technical stakeholders to deliver measurable value at client sites.

Qualifications

• Proven experience deploying ML models in production at scale.
• Experience in distributed computing and cloud environments.
• Hands-on experience with model development lifecycle and deployment.
• Background in computer science fundamentals and systems engineering.

Responsibilities

• Formulate real-world problems into practical, efficient, and scalable AI/ML solutions.
• Develop and implement machine learning algorithms and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for various use cases based on business needs.
• Engage in research and development of new AI and HPC algorithms and simulations.
• Work with large-scale datasets and apply data preprocessing to ensure high-quality inputs.
• Implement and maintain data storage and retrieval for models and knowledge.
• Justify the value of model approaches in business problems.
• Collaborate with cross-functional teams to achieve end-to-end production goals.

Skills

Machine learning experience

Distributed computing

Cloud computing

Communication skills

Client-facing

Problem solving

Education

Bachelor's Degree or equivalent

MS/PhD preferred

Tools

Python

TensorFlow

PyTorch

C++

Java

SQL

R

Job description

Job Description

YOU ARE

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.

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

Qualification

EDUCATION

• Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

• Proven experience as a machine learning engineer or scientist, 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
• Hands-on 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
• 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.)

Locations

Amsterdam

Additional Information

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.

We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.