AI Engineer: GenAI & Production ML Solutions

3900 Accenture B.V. Company; Amsterdam; On-site; EUR 90,000 - 120,000; Full time

Job summary

Accenture PLC is seeking an AI/ML Computational Scientist to design, build, and operationalize production-ready AI solutions for enterprise clients. You will develop models, deploy scalable data pipelines, and apply DL/Gen AI techniques across challenging business use cases at client sites.

You will work with large datasets, implement MLOps pipelines, and collaborate with cross-functional teams to deliver end-to-end AI programs, while communicating complex technical concepts to stakeholders.

Qualifications

• Experience deploying ML models in production at scale.
• Foundations of computer science, including architecture, systems engineering, and programming.
• Strong written & verbal communication to explain complex concepts to non-technical stakeholders.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML models and data pipelines for training and production with DevOps/MLOps.
• Customize DL and Gen AI models for various use cases based on business needs.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Work with large-scale datasets and preprocessing techniques for high-quality input.
• Justify the value of model approaches in business terms.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python

ML algorithms

Data preprocessing

Communicate with stakeholders

Education

Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or related field

Tools

TensorFlow

PyTorch

LLM APIs

C++

Job description

Accenture PLC is seeking an AI/ML Computational Scientist to design, build, and operationalize production-ready AI solutions for enterprise clients. You will develop models, deploy scalable data pipelines, and apply DL/Gen AI techniques across challenging business use cases at client sites.

You will work with large datasets, implement MLOps pipelines, and collaborate with cross-functional teams to deliver end-to-end AI programs, while communicating complex technical concepts to stakeholders.