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    • Bachelor's Degree or equivalent.
    • Minimum of 7 years of experience as a machine learning engineer or scientist, deploying models in production at scale ,…
    • View all Accenture jobs - Perth jobs - AI Scientist jobs in Perth WA
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    • Fluency in English (native or bilingual level) with strong writing skills.
    • A bachelor's degree in a quantitative field is preferred (Statistics, Computer…
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Job Post Details

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AI/ML Computational Scientist - job post

Accenture
3.9 out of 5 stars
Perth WA
Full-time
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Job details

Job type

  • Full-time

Location

Perth WA

Full job description

YOU ARE

As a senior 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 MLOps/LLMOps 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

  • Minimum of 7 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 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming

  • Minimum of 5 years of 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

  • Minimum of 4 years of 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.)

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