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AI/ML Computational Scientist

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Artificial Intelligence

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In short

As a Senior AI/ML Computational Scientist at Accenture, you will design, build, and operationalize AI/ML solutions for enterprise clients, covering the full lifecycle from needs assessment to production deployment. This role involves customizing models, developing scalable data and MLOps pipelines, and engaging in R&D for new AI algorithms.

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.
  • Engage in research and development of new AI and high-performance compute algorithms, models, and simulations.
  • Work with large-scale datasets and utilize data preprocessing techniques.
  • Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge.
  • Justify the value of model approaches in business problems.
  • Collaborate with business and technical teams to achieve end-to-end project goals and integrate into production.

Requirements

  • 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.
  • 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.

Desired Qualifications

  • MS or PhD in related field preferred (computer science, engineering, etc.).
  • 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.

Benefits

  • Inclusive and diverse work environment.
  • Progressive policies supporting flexibility in work arrangements.
  • Opportunities to keep skills relevant through certifications, learning, and diverse work experiences.
  • Support for well-being (physical, mental, and financial health).
#AI#Machine Learning#Computational Science#Deep Learning#Generative AI#LLMOps#MLOps#Cloud Computing#HPC#Consulting
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Company

Accenture

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Senior

Locations

Sydney, Australia

Brisbane, Australia

Canberra, Australia

Melbourne, Australia

Perth, Australia

Qualification

Bachelor, Master, Doctoral

Applicants

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