AI/ML Systems Engineer — GenAI & MLOps for Enterprise

Accenture; Roma; In loco; EUR 70.000 - 110.000; Tempo pieno

Descrizione del lavoro

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full lifecycle, from problem framing to deployment, training, and monitoring with MLOps.

The role emphasizes scalable data pipelines, DL/Gen AI customization, and collaboration with business and technical teams. The position requires a Bachelor's degree in a related field and hands-on experience deploying models in production at scale, plus

Competenze

• Work or coursework experience with ML engineering or ML science.
• Experience deploying models in production at scale with monitoring and auditing.

Mansioni

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML models and data pipelines for training and production with MLOps.
• Customize DL and Gen AI models for business needs and edge/HPC contexts.
• Research new AI algorithms and simulations for client applications.
• Handle large-scale data preprocessing for high-quality inputs.
• Maintain efficient data storage and retrieval for models and knowledge.
• Explain value of model approaches to business stakeholders.
• Collaborate with cross-functional teams to deliver end-to-end production solutions.

Conoscenze

ML engineering

Production ML

Communication

Problem solving

Formazione

Bachelor's degree in CS/CE/Data Science

Strumenti

Python

C++

Java

R

SQL

Descrizione del lavoro

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will work across the full lifecycle, from problem framing to deployment, training, and monitoring with MLOps.

The role emphasizes scalable data pipelines, DL/Gen AI customization, and collaboration with business and technical teams. The position requires a Bachelor's degree in a related field and hands-on experience deploying models in production at scale, plus