AI/ML Solutions Engineer: Build, Deploy & Scale Models

Accenture; Paris; Sur place; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Accenture is hiring AI/ML Computational Scientists across multiple career levels in France to design, build and operationalize machine learning solutions for enterprise clients. You will translate business problems into AI/ML solutions and deploy models, including Deep Learning and LLM-based approaches, with scalable data pipelines using DevOps/MLOps practices.

You will work with cloud, high-performance compute and large-scale data environments, collaborating with stakeholders to demonstrate

Qualifications

• Background in Computer Science, Data Science, Engineering or a related discipline, or equivalent practical experience.
• Experience in machine learning, computational science, AI engineering or AI solution delivery.
• Strong Python skills and familiarity with frameworks such as TensorFlow or PyTorch.
• Knowledge of Python, C++, Java, R, SQL, cloud platforms, MLOps or LLM APIs.

Responsabilités

• Translate business problems into practical AI/ML solutions.
• Develop, customise and deploy machine learning models, including Deep Learning, Generative AI and LLM-based solutions.
• Build scalable data pipelines and production-ready AI/ML systems using DevOps, MLOps and LLMOps practices.
• Work with cloud, distributed computing, high-performance compute and large-scale data environments.
• Collaborate with technical and non-technical stakeholders to explain solutions, trade-offs and business value.
• Contribute to research, innovation and continuous improvement across AI/ML delivery.

Connaissances

Python

Machine Learning

LLM APIs

TensorFlow

PyTorch

C++

Java

R

SQL

Cloud platforms

MLOps

Formation

Background in Computer Science, Data Science, Engineering or a related discipline, or equivalent practical experience.

Outils

TensorFlow

PyTorch

Description du poste

Accenture is hiring AI/ML Computational Scientists across multiple career levels in France to design, build and operationalize machine learning solutions for enterprise clients. You will translate business problems into AI/ML solutions and deploy models, including Deep Learning and LLM-based approaches, with scalable data pipelines using DevOps/MLOps practices.

You will work with cloud, high-performance compute and large-scale data environments, collaborating with stakeholders to demonstrate