Deep AI native software engineer

YOU ARE As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third‑party AI services to deliver production‑ready outcomes. Your role spans the full solution lifecycle — assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.

THE WORK

Formulate real‑world problems into practical, efficient, and scalable AI and Machine Learning solutions

Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOps

Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC

Engage in research and development of new AI and high‑performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites

Work with large‑scale datasets and utilize data preprocessing techniques to ensure high‑quality input for training and production

Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools

Justify the value of model approaches in business problems

Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end‑to‑end project goals and integrate into production

EDUCATION

Bachelor's Degree or equivalent

Basic Qualifications

Proven experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing

Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

Hands‑on experience in distributed computing systems and architecture that may include big data, high‑performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

Experience in building and deploying AI/ML based software to a cloud environment

Preferred Qualifications

Proficiency in Python and python‑based AI/ML frameworks and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)

Experience working with language models like LLM APIs and optimizing their usage for specific applications

Experience with the following programming languages: Python, C++, Java, R, SQL

Strong written & verbal communication skills and ability to communicate complex technical concepts to non‑technical stakeholders

Strong client‑facing skillsets in a consulting environment

Strong cross‑functional skills with the ability to collaborate with a variety of internal and client‑side teams

Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation

MS or PhD in related field preferred (computer science, engineering, etc.)

Compensation Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, seniority, responsibility, skillset, and level of experience. For this position, the Metalmeccanico National Collective Bargaining Agreement applies, with one of the following pay grades and corresponding gross annual salary range: B2 €32,000 - €50,500; B3 €36,000 - €65,800.

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