Delivery Lead

4400 Accenture S.p.A Company; Milano; On-site; EUR 67,000 - 95,000; Full time

Job summary

Accenture is seeking a Senior AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients. You will blend custom models with cloud and third-party AI services to deliver production-ready outcomes, spanning the full solution lifecycle from data assessment to deployment and MLOps.

Work with Deep Learning, Generative AI, and Large Language Models, building scalable data pipelines for training and production, and collaborating across business and

Qualifications

• Significant experience deploying AI/ML models in production at scale with monitoring and auditing.
• Experience with distributed computing and cloud environments.
• Proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch).

Responsibilities

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement ML algorithms, models, and data pipelines for training and production with DevOps & MLOps.
• Customize DL and GenAI models to business needs, including edge and HPC considerations.
• Engage in R&D of AI and HPC algorithms and simulations for client use cases.
• Work with large-scale datasets and ensure high-quality inputs for training.
• Implement efficient data storage and retrieval for models and knowledge.
• Justify model approaches in business terms.
• Collaborate with business and technical teams to achieve end-to-end goals and production integration.

Skills

Python programming

ML/AI modeling

Cloud & DevOps

Stakeholder communication

Big data / HPC awareness

Education

Bachelor's Degree or equivalent

Tools

Python

C++

Java

R

SQL

TensorFlow

PyTorch

Job description

Senior AI / ML Computational Scientist

YOU ARE As a senior 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 MLOps/LLMOps 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 (REQUIRED) QUALIFICATION

Significant experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. Solid experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming Proven 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 QUALIFICATION

Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's 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

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 job level is Dirigente under the Metalmeccanico National Collective Bargaining Agreement. The gross annual salary range is between 67,400 and 95,200.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visitwww.accenture.com

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