Senior AI/ML Computational Scientist

Accenture; Dublin; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture in Ireland seeks a Senior AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions by blending custom models with cloud services to deliver production-ready outcomes.

You will own end-to-end projects, collaborate with data scientists and engineers, and develop scalable data pipelines while applying Deep Learning, Gen AI, and LLMs to real business needs across client engagements.

Qualifications

• Significant experience deploying models in production at scale, with monitoring and auditing.
• Foundations of computer science, system engineering, and programming.
• Experience in distributed computing, big data, HPC, and cloud environments.
• Experience building and deploying AI/ML software to a cloud environment.

Responsibilities

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement ML algorithms and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business use cases, including edge devices and HPC.
• Engage in R&D of new AI algorithms and simulations for client applications.
• Collaborate with business and technical teams to deliver end-to-end production outcomes.

Skills

Machine learning

Distributed computing

Python

C++

Java

R

SQL

Cloud computing

MLOps

Data pipelines

Education

Bachelor’s Degree or equivalent

Tools

TensorFlow

PyTorch

LLM APIs

Docker

Kubernetes

Git

Job description

Senior AI/ML Computational Scientist

Career Level: Senior Manager / Associate Director

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 andMLOps/LLMOpspipelines 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 Learningand Gen AI models for various use cases based on the business needs, data availability,systemand 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 andutilizedata preprocessing techniques to ensure high-quality input for training and production

• Implement andmaintainefficient data storage and retrieval mechanisms for models and knowledge usingappropriate 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 atscale ,including monitoring, alerting, automatic bug filing and auditing.

• Extensive experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

• Well versed in distributed computing systems and architecture that may include big data, high-performance compute, engineering simulations, scientific compute, grid and cloud computing, distributed networks

• Established experience in building and deploying AI/ML based software to a cloud environment.

PREFERRED QUALIFICATION

• Proficiencyin Python andpython-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow,PyTorch).

• Experience working with language models like LLM's APIs andoptimizingtheir 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.)

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.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities