Enterprise AI/ML Scientist - GenAI & MLOps

Accenture PLC

Lombardia

On-site

EUR 32,000 - 66,000

Full time

3 days ago
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Job summary

Accenture PLC in Italy seeks an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions, combining custom models with cloud services to deliver production-ready outcomes.

You will translate real-world problems into scalable AI systems, develop ML algorithms and data pipelines with DevOps/MLOps practices, and collaborate across business and technical teams to deploy reliable solutions at client sites.

Qualifications

  • Proven experience deploying ML models to production at scale with monitoring and alerting.
  • Experience in distributed computing and cloud environments.
  • Experience building AI/ML based software for cloud deployment.

Responsibilities

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement ML algorithms, models, and data pipelines with DevOps & MLOps.
  • Customize Deep Learning and Gen AI models for various use cases including edge devices and HPC.
  • Engage in R&D of new AI/HP compute algorithms and simulations for client applications.
  • Work with large-scale datasets and preprocessing to ensure high-quality training data.
  • Implement and maintain data storage/retrieval for models and knowledge.
  • Justify model approaches to business problems.
  • Collaborate with business and technical teams to deliver end-to-end production deployments.

Skills

Python
TensorFlow
PyTorch
LLM APIs
C++
Java
R
SQL

Education

Bachelor's Degree or equivalent

Tools

Python
TensorFlow
PyTorch
LLM APIs

Job description

Accenture PLC in Italy seeks an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions, combining custom models with cloud services to deliver production-ready outcomes.

You will translate real-world problems into scalable AI systems, develop ML algorithms and data pipelines with DevOps/MLOps practices, and collaborate across business and technical teams to deploy reliable solutions at client sites.

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