Generative AI Engineer

Accenture; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Flex‑work (гибрид)

Возможность проектов за рубежом

Обучение и развитие

План покупки акций

Прозрачная система бонусов

Job summary

Accenture ищет специалиста по вычислительному AI/ML, который будет проектировать и внедрять реальные решения для крупных бизнес‑задач. Ваша ответственность — формулировать задачи, строить масштабируемые конвейеры данных и разворачивать модели в продакшене на основе Python и современных инструментов ИИ.

Требуется опыт разработки и развёртывания моделей в облачной среде, знание TensorFlow и PyTorch, а также способность общаться с бизнес‑заказчиками, работать в кросс‑функциональных командах и

Qualifications

• Степень бакалавра или эквивалент в области компьютерных наук/инженерии (ТРЕБУЕТСЯ).
• Опыт работы ML‑инженером или учёным, разворачивал/ведение моделей в продакшене на масштабе.
• Опыт применения теоретических основ информатики, архитектуры систем и программирования.
• Опыт работы с распределёнными вычислительными системами (большие данные, HPC, облако).
• Опыт разработки и развёртывания AI/ML‑программного обеспечения в облачной среде.

Responsibilities

• Формулировать реальные задачи в практичные, эффективные и масштабируемые решения на базе ИИ/ML.
• Разрабатывать и внедрять алгоритмы и модели машинного обучения, а также вычислительные системы.
• Проектировать и строить масштабируемые конвейеры данных для обучения и продакшна, включая DevOps & MLOps.
• Настраивать и применять Deep Learning и Gen AI модели под бизнес‑потребности, включая Edge и HPC.
• Проводить исследования новых алгоритмов и моделей ИИ для клиентов на площадке.

Skills

Python

LLM APIs

Education

Бакалавр

Tools

TensorFlow

PyTorch

Job description

Задачи:

• 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.
• Working experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming
• Familiarity with 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.

Требования:

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.

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.)

Reasons for being our colleague:

• Flexible working arrangements (Flex-work, Home Office)
• Option to participate on projects abroad
• Continuous growth in a positive and multicultural work environment
• Wide range of leading-edge trainings (including language course)
• Access to trainings, materials and bootcamps to build/enhance your skills
• Family oriented benefits
• Share purchase plan
• Transparent bonus structure
• Refer-a-Friend – get a bonus in the employee referral program

Условия:

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.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Visit us at www.accenture.com