YOU AREAs 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 WORKFormulate real-world problems into practical, effective, and scalable AI and Machine Learning solutionsDevelop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps & MLOpsCustomize 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 HPCEngage 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 sitesWork with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and productionImplement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate toolsJustify the value of model approaches in business problemsCollaborate 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 productionEDUCATIONBachelor's Degree or equivalentBASIC (REQUIRED) QUALIFICATIONMinimum 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 programmingMinimum 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 networksMinimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.PREFERRED QUALIFICATIONProficiency 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, SQLStrong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholdersStrong client-facing skillsets in a consulting environmentStrong cross-functional skills with the ability to collaborate with a variety of internal and client-side teamsEntrepreneurial mindset with a curiosity and passion for emergent tech and driving innovationMS or PhD in related field preferred (computer science, engineering, etc.)
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📌 Ai/Ml Computational Scientist (Melbourne)
🏢 Accenture
📍 Melbourne