Accenture - AI/ML Computational Science Manager
Job Description
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.
Our End-to-End Capabilities
Transform Every Fact of Business
Strategy
We identify and execute on actionable insights through a data-driven approach combining data discovery with visualization
Automation, Advanced, Analytics and AI
We apply intelligent technology and human ingenuity at the core of business across every function and process to address our clients’ most complex challenges
Data
We transform organizations at every level using innovative data-driven solution.
Platforms
The flexible. Scalable Applied Intelligence Platform helps our clients become insight-powered enterprises, delivering value at speed using market-leading tools.
Responsible AI
Our responsible AI methodology puts people at its center. Focusing on enhancing their capabilities and elevating their roles.
You Will Be Responsible For:
- 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
Job Qualifications
Minimum of bachelor’s degree required in a related field; strong preference for fields of study in data science, AI, statistics, economics or quantitative background
Minimum of 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.
Minimum of 3 years of 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.
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
Hong Kong
Shanghai
平等就业机会声明
所有聘用决定均不考虑年龄、种族、信仰、肤色、宗教、性别、国籍、血统、残疾状况、退伍军人身份、性取向、性别认同或表达、基因信息、婚姻状况、公民身份或任何其他受联邦、州或地方法律保护的因素。
求职者在招聘过程中没有义务披露已封存或已删除的定罪或逮捕记录。
埃森哲致力于为我们的男女军人提供退伍军人就业机会。
请阅读埃森哲的招聘和聘用声明，了解更多关于我们在招聘和聘用过程中如何处理您的数据的信息。
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.