AI/ML Computational Scientist

Posted Yesterday
3 Locations
In-Office or Remote
Senior level
Information Technology
The Role
Design, build, and operationalize AI/ML solutions across the full lifecycle: assess data and needs, select/customize models (Deep Learning, Generative AI, LLMs), create scalable data and MLOps pipelines, deploy to cloud/HPC/edge, ensure monitoring and reliability, and collaborate with technical and business stakeholders to deliver production-ready outcomes.
Summary Generated by Built In

YOU ARE 

As an 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 DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. 

THE WORK 

  • 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 

EDUCATION 

  • Bachelor's Degree or equivalent 

BASIC (REQUIRED) QUALIFICATION 

  • Proven experience as a machine learning engineer or scientist, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing. 

  • Experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming 

  • Hands-on 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 

  • Experience in building and deploying AI/ML based software to a cloud environment. 

PREFERRED QUALIFICATION 

  • 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 

  • 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 

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

At Accenture, recognized as a Great Place To Work®, we are committed to a hybrid work model that, supported by technology and our office spaces, enables us to maintain the essential human connection needed to collaborate effectively with our teams and clients. This connection helps us foster our culture of inclusion and diversity and has contributed to being recognized by Refinitiv as one of the world's most diverse companies.

In addition, we offer:

  • Private medical, life, and accident insurance.

  • Medical services and wellbeing programs.

  • Flexible benefits program and employee share purchase plan.

  • Flexible working arrangements (working hours, additional leave days, vacation options, and more).

  • Personalized learning and career development paths.

  • Sustainability initiatives and opportunities to participate in the Accenture Foundation.

  • Employee diversity and inclusion networks.

  • Additional benefits, including special banking conditions through our Bankinter office and profit-sharing programs

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Declaración de igualdad de oportunidades en el empleo

Creemos que nadie debe ser discriminado por sus diferencias. Todas las decisiones de empleo se tomarán sin importar la edad, raza, credo, color, religión, sexo, origen nacional, ascendencia, discapacidad, condición de veterano militar, orientación sexual, identidad o expresión de género, información genética, estado civil, ciudadanía ni ningún otro criterio protegido por la legislación aplicable. Nuestra rica diversidad nos hace más innovadores, competitivos y creativos, lo que nos ayuda a servir mejor a nuestros clientes y comunidades.

Skills Required

  • Proven experience deploying machine learning models in production at scale, including monitoring, alerting, automatic bug filing and auditing
  • Experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
  • Hands-on experience in distributed computing systems and architecture (big data, HPC, engineering simulations, grid and cloud computing, distributed networks)
  • Experience building and deploying AI/ML software to a cloud environment
  • Bachelor's Degree or equivalent
  • Proficiency in Python and python-based AI/ML frameworks; familiarity with TensorFlow, PyTorch
  • Experience working with language models (LLMs) and optimizing their usage via APIs
  • Experience with Python, C++, Java, R, SQL
  • Strong written and verbal communication; ability to explain technical concepts to non-technical stakeholders
  • Client-facing experience in a consulting environment
  • Cross-functional collaboration skills
  • Entrepreneurial mindset and interest in emergent technologies
  • MS or PhD in computer science, engineering, or related field

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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