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Accenture

Advises businesses and runs their technology

AI/ML Computational Scientist

Applied Machine LearningUpdated on Nov 11
Full-timeVilnius, Vilnius City Municipality, Lithuania€1.9k - €5k /mo

About the Job

Requirements

  • Proven experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
  • Experience applying theoretical foundations of computer science, including computer system architecture, systems engineering, and programming.
  • Hands-on experience with distributed computing systems and architecture, potentially including big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, or distributed networks.
  • Experience building and deploying AI/ML-based software to a cloud environment.
  • Proficiency in Python and Python-based AI/ML frameworks, with familiarity with relevant libraries and frameworks such as TensorFlow and PyTorch.
  • Experience working with language models and their APIs, and optimizing their usage for specific applications.
  • Experience with programming languages including Python, C++, Java, R, and SQL.
  • Strong written and verbal communication skills and the ability to communicate complex technical concepts to non-technical stakeholders.
  • Strong client-facing skills in a consulting environment.
  • Strong cross-functional collaboration skills with internal and client-side teams.
  • An entrepreneurial mindset and curiosity about emerging technology and driving innovation.
  • Currently hold an EU work permit and be available to start within 1 to 3 months of receiving an offer.

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, and design and build scalable data pipelines for model training and production using DevOps and MLOps.
  • Customize and apply deep learning and generative AI models to use cases based on business needs, data availability, and system and infrastructure requirements, including edge devices and high-performance computing.
  • Conduct research and development of AI and high-performance computing algorithms, models, and simulations, and apply them to complex business problems at client sites.
  • Work with large-scale datasets and use data preprocessing techniques to ensure high-quality inputs 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 for business problems.
  • Collaborate with business and technical teams, including users, use-case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate solutions into production.

Desired Qualifications

  • A master's or PhD in a related field, such as computer science or engineering.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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