Senior AI/ML Solutions Lead (Enterprise)

Accenture Italia; Lombardia; Sur place; EUR 67 000 - 95 000; Plein temps

Résumé du poste

Accenture Italia is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will own the full solution lifecycle — from needs assessment to deployment — including Deep Learning, Gen AI, and LLMs, with scalable MLOps pipelines.

You will work with large datasets, collaborate across business and technical teams, and ensure value, quality, and

Qualifications

• Significant real-world experience deploying AI/ML models in production at scale with monitoring and alerting.
• Strong foundations in computer science, architecture, and programming.
• Experience with distributed computing, big data, HPC, cloud computing, and simulations.
• Experience building and deploying AI/ML software to cloud environments.

Responsabilités

• Formulate real-world problems into scalable AI/ML solutions.
• Develop ML algorithms and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business needs, including edge devices and HPC.
• Engage in R&D of new AI algorithms and simulations for client sites.
• Work with large-scale datasets and preprocessing to ensure high-quality input for training and production.
• Collaborate with business and technical teams to deliver end-to-end projects.

Connaissances

Machine Learning

MLOps

Distributed computing

Python

TensorFlow

PyTorch

Cloud AI

C++

Java

SQL

Formation

Bachelor's degree or equivalent

Outils

TensorFlow

PyTorch

Description du poste

Accenture Italia is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients, combining custom models with cloud services to deliver production-ready outcomes. You will own the full solution lifecycle — from needs assessment to deployment — including Deep Learning, Gen AI, and LLMs, with scalable MLOps pipelines.

You will work with large datasets, collaborate across business and technical teams, and ensure value, quality, and