Data Product Lead: AI/ML Solutions Architect

Accenture; København; Vor Ort; DKK 1.000.000 - 1.800.000; Vollzeit

Zusammenfassung

Accenture in Denmark is seeking a senior AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle, from data assessment to deployment.

You will work on Deep Learning, Generative AI, and Large Language Models, design scalable MLOps pipelines, and collaborate with business and technical teams to realize measurable value for clients.

Qualifikationen

• Significant experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring and auditing.
• Experience in distributed computing systems, big data, and cloud computing.
• Proficiency with Python-based ML tooling and related libraries.

Aufgaben

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and deploy ML models and scalable data pipelines with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business needs, including edge and HPC contexts.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Collaborate with business and technical teams to deliver end-to-end projects.

Kenntnisse

Machine Learning

Production deployment

Distributed computing

Communication skills

Ausbildung

Bachelor’s degree or equivalent

Tools

Python

TensorFlow

PyTorch

Cloud platforms (AWS/GCP/Azure)

Jobbeschreibung

Accenture in Denmark is seeking a senior AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions. You will combine custom models with cloud services to deliver production-ready outcomes across the full solution lifecycle, from data assessment to deployment.

You will work on Deep Learning, Generative AI, and Large Language Models, design scalable MLOps pipelines, and collaborate with business and technical teams to realize measurable value for clients.