AI/ML Computational Scientist Manager (All Genders)

Accenture PLC; Stuttgart; Vor Ort; EUR 90.000 - 135.000; Vollzeit

Zusammenfassung

Accenture PLC is seeking an AI/ML Computational Scientist to design, build, and operationalize AI/ML solutions for enterprise clients in Stuttgart. You will work across the full solution lifecycle, selecting and customizing models including Deep Learning, Generative AI, and LLMs, and design scalable data and MLOps pipelines for training and production.

You will engage in R&D of new AI algorithms, handle large-scale datasets, and collaborate with cross-functional teams to deliver production-ready

Qualifikationen

• Proven experience as a machine learning engineer or scientist, deploying models in production at scale, including monitoring and auditing.
• Strong foundation in computer science concepts, system architecture, and programming.
• Experience with distributed computing, big data, and cloud environments.
• Experience in building and deploying AI/ML software to a cloud environment.
• German at least B2 level.

Aufgaben

• Formulate real-world problems into scalable AI/ML solutions.
• Develop and implement machine learning algorithms and scalable data pipelines for training and production with DevOps & MLOps.
• Customize Deep Learning and Gen AI models for business use cases.
• Engage in R&D of new AI and HPC algorithms and simulations for client applications.
• Work with large-scale datasets and preprocessing to ensure high-quality inputs.

Kenntnisse

German (B2)

Python

C++

Java

R

SQL

Ausbildung

Bachelor's Degree or equivalent

Tools

TensorFlow

PyTorch

DevOps

MLOps

Jobbeschreibung

#LI-EU and #LI-ASG

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 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

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

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

• 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.
• German on B2 level minimum.

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.)