AI/ML Data Product Lead - Deploy Production Models

4000 Accenture A/S Company

København

Presencial

DKK 1.100.000 - 1.400.000

Jornada completa

Hace 4 días
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Descripción de la vacante

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

The role covers the full lifecycle from needs assessment through deployment, including Gen AI, LLMs, and MLOps. Strong collaboration with business and technical teams is essential.

Formación

  • Bachelor's degree or equivalent.
  • Significant experience deploying models in production at scale, including monitoring and auditing.
  • Experience with distributed computing systems, cloud computing, and HPC environments.

Responsabilidades

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML algorithms and scalable data pipelines for training and production.
  • Customize DL and Gen AI models for various use cases; work across data, systems, and infrastructure.
  • Engage in R&D of new AI algorithms and simulations for client applications.
  • Work with large-scale datasets and ensure high-quality data for training.
  • Justify model approaches to business problems; collaborate across business and tech teams.

Conocimientos

Machine learning engineering
Distributed computing
Python programming
Deep Learning
Gen AI & LLMs

Educación

Bachelor's Degree or equivalent

Herramientas

TensorFlow
PyTorch
Python
C++
Java
R
SQL

Descripción del empleo

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

The role covers the full lifecycle from needs assessment through deployment, including Gen AI, LLMs, and MLOps. Strong collaboration with business and technical teams is essential.

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