AI/ML Computational Science Analyst (All Genders)

3200 Accenture GmbH Company

Kronberg im Taunus

Hybrid

EUR 90.000 - 120.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Flexible hybrid/remote work
Innovative AI projects
Career development

Zusammenfassung

Accenture GmbH is seeking an AI/ML Computational Scientist to design, build, and operationalize AI and ML solutions for enterprise clients, blending custom models with cloud services to deliver production‑ready outcomes.

You will own the full lifecycle—from problem framing and data assessment to modeling, DevOps/MLOps pipelines, and deployment—ensuring scalable, reliable systems delivering measurable business value at scale.

Qualifikationen

  • Bachelor’s degree or higher in a relevant field and production deployment experience.
  • Experience deploying models in production at scale, including monitoring, alerting, and auditing.
  • Strong CS foundations in architecture, systems engineering, and programming.

Aufgaben

  • Formulate real-world problems into scalable AI/ML solutions.
  • Develop and implement machine learning algorithms and computational systems.
  • Design scalable data pipelines for training and production with DevOps & MLOps.
  • Customize Deep Learning and Gen AI models for various use cases.
  • Collaborate with cross-functional teams to achieve end-to-end goals.

Kenntnisse

Python
C++
Java
R
SQL
TensorFlow
PyTorch
LLMs APIs

Ausbildung

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

Tools

TensorFlow
PyTorch

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

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. Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive.

About Accenture

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 creating360° 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

Equality Statement

Erklärung zur Chancengleichheit am Arbeitsplatz Wir sind der Meinung, dass niemand aufgrund seiner Andersartigkeit diskriminiert werden sollte.

Alle Einstellungsentscheidungen werden unabhängig von Alter, Rasse, Glaubensbekenntnis, Hautfarbe, Religion, Geschlecht, nationaler Herkunft, Abstammung, Behinderung, Veteranenstatus, sexueller Orientierung, Geschlechtsidentität oder -ausdruck, genetischen Informationen, Familienstand, Staatsbürgerschaft oder anderen gesetzlich geschützten Kriterien getroffen.

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