AI/ML Solutions Engineer - Gen AI, DL & MLOps

Accenture Italia

Milano

In loco

EUR 60.000 - 90.000

Tempo pieno

2 giorni fa
Candidati tra i primi
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che stanno cercando.

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Descrizione del lavoro

Accenture Italia in Milano seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across model selection, data processing, and DevOps/MLOps pipelines to deliver production-ready outcomes.

The role includes researching new AI algorithms, applying DL/Gen AI to business use cases, and collaborating with diverse teams to achieve end-to-end project goals at client sites.

Competenze

  • Bachelor's degree in CS/CE/Data Science or related field.
  • Experience deploying ML models in production, with monitoring and audits.
  • Strong foundations in computer science concepts and system architecture.

Mansioni

  • Formulate real-world problems into scalable AI and ML solutions.
  • Develop ML models and data pipelines for training and production with DevOps & MLOps.
  • Customize DL and Gen AI models for client needs, including edge devices and HPC.
  • Engage in R&D of new AI algorithms and simulations for complex business problems at client sites.
  • Process large-scale datasets and ensure high-quality inputs for training/production.
  • Justify model approaches and collaborate with both business and technical teams.

Conoscenze

Machine learning engineering
Cloud & DevOps concepts
Communication with stakeholders
Research & experimentation
Edge computing knowledge

Formazione

Bachelor's Degree in Computer Science/Engineering/Data Science

Strumenti

TensorFlow
PyTorch
LLM APIs
C++
Java
SQL
Python

Descrizione del lavoro

Accenture Italia in Milano seeks an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across model selection, data processing, and DevOps/MLOps pipelines to deliver production-ready outcomes.

The role includes researching new AI algorithms, applying DL/Gen AI to business use cases, and collaborating with diverse teams to achieve end-to-end project goals at client sites.

Ottieni la revisione del curriculum gratis e riservata.

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