Junior AI/ML Engineer: Gen AI & Production Pipelines

Accenture the Netherlands; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Job summary

Accenture the Netherlands is seeking an AI/ML Computational Scientist to design, build and operationalize enterprise AI and ML solutions for clients in Amsterdam and beyond. You will blend custom models with cloud services, establishing scalable data and MLOps pipelines that deliver production-ready outcomes.

You will work across the full solution lifecycle, assess client needs, select and customize models (including Generative AI and LLMs), and collaborate with business and technical teams to

Qualifications

• Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field
• Experience deploying ML models in production at scale with monitoring, alerts, bug filing and auditing
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch) and familiarity with APIs for LLMs

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions
• Develop and implement ML algorithms, models, and data pipelines with DevOps & MLOps
• Customize DL/GenAI models for various use cases based on business needs and data availability
• Engage in R&D of new AI/compute algorithms and simulations for client applications
• Work with large-scale datasets and apply data preprocessing techniques for training/production
• Implement and maintain efficient data storage and retrieval for models and knowledge
• Justify the value of model approaches in business problems
• Collaborate with business and technical teams to achieve end-to-end project goals and production integration

Skills

Python

ML engineering

DevOps/MLOps

Data pipelines

Cloud services

Communication

Edge/HPC

Education

Bachelor's degree in Computer Science / Data Science

Job description

Accenture the Netherlands is seeking an AI/ML Computational Scientist to design, build and operationalize enterprise AI and ML solutions for clients in Amsterdam and beyond. You will blend custom models with cloud services, establishing scalable data and MLOps pipelines that deliver production-ready outcomes.

You will work across the full solution lifecycle, assess client needs, select and customize models (including Generative AI and LLMs), and collaborate with business and technical teams to