Enterprise AI/ML Solutions Engineer - Gen AI & MLOps

Accenture PLC; Redmond; On-site; AUD 52,000 - 153,000; Full time

Job summary

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions, combining custom models with cloud services to deliver production-ready outcomes. You will work across the full solution lifecycle, from data assessment to model deployment and monitoring.

You will develop scalable data pipelines, apply Deep Learning and GenAI models, and collaborate with business and technical teams to deliver end-to-end outcomes at client sites.

Qualifications

• Minimum 3 years of experience as a machine learning engineer or scientist deploying models in production at scale.
• Minimum of 3 years of experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Minimum of 1 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

Responsibilities

• 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

Skills

ML engineering

Production deployment

Distributed computing

Cloud deployment

Python

C++

DevOps & MLOps

Communication

Education

Bachelor's degree or equivalent

Tools

TensorFlow

PyTorch

LLMs APIs

Spark

Docker

Job description

Accenture is seeking an AI/ML Computational Scientist to design, build, and operationalize enterprise AI/ML solutions, combining custom models with cloud services to deliver production-ready outcomes. You will work across the full solution lifecycle, from data assessment to model deployment and monitoring.

You will develop scalable data pipelines, apply Deep Learning and GenAI models, and collaborate with business and technical teams to deliver end-to-end outcomes at client sites.