AI/ML Computational Science Analyst (All Genders)

Accenture PLC; Kronberg im Taunus; Hybrid; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Accenture plc seeks an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions. You will combine custom models with cloud and third-party AI services to deliver production-ready outcomes, spanning the full lifecycle from data assessment to deployment.

You will develop scalable data pipelines, apply DL/GenAI models, and ensure quality, value, and reliability of deployed systems while collaborating with business and technical teams across client engagements.

Qualifikationen

• Bachelor's degree in CS/Engineering/Data Science or related field.
• Experience deploying ML models to production at scale with monitoring.
• Knowledge of computer science foundations, systems, and programming.
• Proficiency in Python and AI/ML libraries (TensorFlow/PyTorch).
• Experience with language models and optimizing their usage.

Aufgaben

• Formulate real-world problems into scalable AI/ML solutions.
• Develop models, data pipelines, and DevOps/MLOps for training and production.
• Customize deep learning and GenAI models for business use cases.
• Research new AI/HPC algorithms and apply them at client sites.
• Handle large-scale datasets and ensure high-quality training input.
• Implement efficient storage/retrieval for models and knowledge.
• Justify model approaches to business stakeholders.
• Collaborate with business and technical teams to deliver end-to-end projects.

Kenntnisse

Python proficiency

C++

Java

R

SQL

Strong communication

Cross-functional collaboration

LLM APIs experience

Gen AI & DL concepts

Emergent tech curiosity

Ausbildung

Bachelor's Degree in Computer Science/Engineering/Data Science

Tools

TensorFlow

PyTorch

LLM platforms

Jobbeschreibung

Your Mission

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.

Your Daily 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

Who You Are

• Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field

• Work or coursework experience with machine learning engineering or machine learning science, 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

• 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

What We Offer

• Flexible working models with hybrid and remote working opportunities that support your individual needs.

• Access to innovative AI, machine learning, generative AI, and cloud transformation projects for leading global clients.

• Continuous learning opportunities, industry-leading training, certifications, and clear career development paths.

The Accenture Culture:

Here, YOU are the catalyst for change

Your unique combination of skills, personality, and aspirations sets you apart. When distinct talents, strengths, and perspectives merge, the result is nothing short of extraordinary: ideas that propel the world forward. This is why we champion diversity and personal development at Accenture. Create a working environment where you truly thrive; with responsibilities that resonate deeply; with a workload that is perfectly aligned with your capabilities; and methods that are tailored to your objectives. How you wish to connect, further your development, and personally evolve rests in your hands. This is your career. We are mere facilitators, helping you shape it exactly as you envision.