Senior AI/ML Engineer - Production-Scale & GenAI Expert

Accenture PLC

Sint-Jans-Molenbeek

On-site

EUR 90,000 - 140,000

Full time

3 days ago
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Job summary

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services, develop scalable data pipelines, and implement MLOps/LLMOps to deliver production-ready outcomes.

You will work across the full solution lifecycle, applying Deep Learning, Generative AI, and large language models, while collaborating with business and technical teams to achieve end-to-end project goals.

Qualifications

  • 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, system architecture, and programming.
  • Experience with distributed computing, big data, HPC, or cloud-based simulations.

Responsibilities

  • Formulate real-world problems into practical, scalable AI/ML solutions.
  • Develop and implement ML algorithms, models, and scalable data pipelines for training and production with DevOps & MLOps.
  • Customize and apply Deep Learning and Gen AI models for business use cases; include edge devices and HPC.
  • Engage in R&D of new AI and high-performance compute algorithms and simulations for client solutions.
  • Work with large-scale datasets and data preprocessing to ensure high-quality input for training.

Skills

Machine Learning
Deep Learning
MLOps
Generative AI
Cloud Computing
Python
TensorFlow
PyTorch

Education

Bachelor's Degree or equivalent
MS or PhD in related field preferred

Tools

LLM APIs
TensorFlow
PyTorch

Job description

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud services, develop scalable data pipelines, and implement MLOps/LLMOps to deliver production-ready outcomes.

You will work across the full solution lifecycle, applying Deep Learning, Generative AI, and large language models, while collaborating with business and technical teams to achieve end-to-end project goals.

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