Job Description
YOU ARE
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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.
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THE WORK
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Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions
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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
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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
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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
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Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production
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Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools
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Justify the value of model approaches in business problems
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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
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EDUCATION
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Bachelor's Degree or equivalent
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BASIC (REQUIRED) QUALIFICATION
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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.
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Minimum of 7 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
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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
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Minimum of 4 years of experience in building and deploying AI/ML based software to a cloud environment.
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PREFERRED QUALIFICATION
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Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..
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Experience working with language models like LLM's APIs and optimizing their usage for specific applications.
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Experience with the following programming languages: Python, C++, Java, R, SQL
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Strong written & verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders
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Strong client-facing skillsets in a consulting setting
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Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams
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Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation
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MS or PhD in related field preferred (computer science, engineering, etc.)
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📌 Ai/Ml Computational Scientist (Victoria)
🏢 Accenture
📍 Victoria