Delivery Lead

Stema; Lombardia; À distance; EUR 67 000 - 95 000; Plein temps

Résumé du poste

Accenture Milano seeks aSenior AI/ML Computational Scientist to design, build and operationalize AI/ML solutions for enterprise clients, spanning problem framing, model selection, and production pipelines with MLOps and edge/HPC considerations.

You will work across data assessment, model customization (including DL/Gen AI/LLMs), and production integration while ensuring value, quality, and reliability of deployed systems for diverse use cases.

Qualifications

• 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.

Responsabilités

• Formulate real-world problems into practical, scalable AI/ML solutions.
• Develop and implement machine learning algorithms, models, and computational systems with scalable data pipelines for training and production.
• Customize and apply Deep Learning and Gen AI models for various use cases based on business needs and data availability.
• Engage in research and development of new AI/compute algorithms and simulations for client projects.
• Work with large-scale datasets and preprocessing techniques to ensure high-quality data for training and production.
• Implement and maintain efficient data storage and retrieval for models and knowledge.

Connaissances

Machine learning

Distributed computing

Python programming

Cloud computing

MLOps

Gen AI

LLMs

TensorFlow

PyTorch

Java

C++

R

SQL

Formation

Bachelor's degree or equivalent

Outils

TensorFlow

PyTorch

LLMs APIs

Python

C++

Java

R

SQL

Description du poste

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

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

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.

Locations

Milano

Informazioni aggiuntive

Accenture garantisce le pari opportunità

Tutte le decisioni relative all’impiego vengono prese senza alcuna discriminazione basata su età,razza,credo,colore,religione,sesso,origine nazionale,ascendenza,disabilità,status di veterano,orientamento sessuale,identità o espressione di genere,informazioni genetiche,stato civile,cittadinanza o qualsiasi altra caratteristica tutelata dalla normativa vigente.

Accenture si impegna a promuovere opportunità di impiego per i veterani delle forze armate.

Ti invitiamo a consultare il Recruiting and Hiring Statement di Accenture per maggiori informazioni sul trattamento dei tuoi dati personali durante il processo di recruiting e assunzione.

Conosci Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day,more than 775,000 of us help our stakeholders continuously reinvent. Together,we drive positive change and deliver value to our clients,partners,shareholders,communities,and each other.

We believe that delivering value requires innovation,and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias,where everyone feels a sense of belonging and is respected and empowered to do their best work.

At Accenture,we see well-being holistically,supporting our people’s physical,mental,and financial health. We also provide opportunities to keep skills relevant through certifications,learning,and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.

Join Accenture to work at the heart of change. Visit us at www.accenture.com.