AI / ML Engineer

Accenture Portugal; Lisboa; Presencial; EUR 90 000 - 120 000; Tempo integral

Resumo da oferta

Accenture Portugal seeks a senior AI/ML Senior Manager Engineer to influence across groups and deliver thoughtful solutions in diverse domains. You will focus on Database Architecture and design impactful AI/ML solutions within a dynamic environment.

Responsibilities include building scalable pipelines, applying advanced models, and collaborating with cross-functional teams to align infrastructure, including edge devices and high-performance computing resources.

Qualificações

• Master's degree in a relevant field of study.
• Strong experience across AI/ML engineering, data systems, and model development.

Responsabilidades

• Design and develop artificial intelligence and machine learning systems using cloud-based AI services.
• Build scalable data pipelines that support model training and production environments, with an emphasis on operational excellence.
• Customize and apply deep learning and generative AI models based on business requirements and available data.
• Conduct research and development of advanced algorithms, models, and simulations for high-performance computing applications.
• Work with large-scale datasets and apply data preprocessing techniques to ensure high-quality inputs for training and production.
• Implement and maintain efficient data storage and retrieval systems to support machine learning models and knowledge management.
• Collaborate with cross-functional teams to align infrastructure requirements, including edge devices and high-performance computing resources.

Conhecimentos

Database Architecture

AI/ML engineering

Data systems

Model development

AI Agents

Foundation Models

Foundation Model Fine Tuning

Large Language Model Fine-Tuning

Machine Learning

Edge devices

High-performance computing

Formação académica

Master's degree

Descrição da oferta de emprego

As an AI/ML Senior Manager Engineer, you will explore opportunities to influence and advise across multiple groups while delivering thoughtful solutions to complex challenges spanning a variety of domains. This role involves close collaboration with diverse stakeholders and contributions to key decisions by applying deep technical knowledge and practical expertise.

With a strong focus on Database Architecture, you will help design and deliver impactful AI and machine learning solutions in a dynamic environment where your insights drive meaningful outcomes.

Key Responsibilities

• Design and develop artificial intelligence and machine learning systems using cloud-based AI services.
• Build scalable data pipelines that support model training and production environments, with an emphasis on operational excellence.
• Customize and apply deep learning and generative AI models based on business requirements and available data.
• Conduct research and development of advanced algorithms, models, and simulations for high-performance computing applications.
• Work with large-scale datasets and apply data preprocessing techniques to ensure high-quality inputs for training and production.
• Implement and maintain efficient data storage and retrieval systems to support machine learning models and knowledge management.
• Collaborate with cross-functional teams to align infrastructure requirements, including edge devices and high-performance computing resources.

Bonus Points If You Have

• Expert proficiency in AI Agents.
• Expert proficiency in Foundation Model Fine Tuning.
• Expert proficiency in Foundation Models.
• Expert proficiency in Large Language Model Fine-Tuning.
• Expert proficiency in Machine Learning.

Required Qualifications

• Master proficiency in Database Architecture.
• Strong experience in relevant related skills across AI/ML engineering, data systems, and model development.
• Master’s degree in a relevant field of study.

Preferred Qualifications

• Expert proficiency in AI Agents.
• Expert proficiency in Foundation Model Fine-Tuning.
• Expert proficiency in Foundation Models.
• Expert proficiency in Large Language Model Fine-Tuning.
• Expert proficiency in Machine Learning.