Skip to main content Skip to footer

AI/ML Computational Scientist

AI/ML Computational Science Team Lead/Consultant | Mid-Level | Full time
ジョブ番号 R00339299 | Multiple Locations
応募する

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 and DevOps & MLOps 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 

  • Proven experience as a machine learning engineer or scientist, 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 

  • Hands-on 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.) 

London

Berlin

Madrid

Paris

雇用機会の均等化に関する声明

アクセンチュアは選考に際し、適用される法令に基づき、応募者を年齢、人種、思想信条、肌の色、宗教、性別、国籍、出生地、民族的起源、障がいの有無、性的指向、性同一性、遺伝情報、婚姻、パートナーの有無、市民権において差別することなく、全ての応募者に対し適用される法令に基づき採用選考を行います。

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.