Responsibilities
- Formulate real-world business problems into practical, efficient, and scalable AI/ML solutions.
- Develop machine learning algorithms, models, computational systems, and scalable data pipelines for training and production.
- Customize and apply deep learning and generative AI models, including language model APIs, for business use cases.
- Design and deploy AI/ML software in cloud, distributed computing, edge-device, and high-performance computing environments.
- Monitor, audit, maintain, and improve production machine learning systems, including monitoring, alerting, automatic bug filing, and auditing.
- Research new AI and high-performance computing algorithms, models, simulations, and applications.
- Process large-scale datasets and implement efficient storage and retrieval mechanisms for models and knowledge.
- Collaborate with business stakeholders, engineers, architects, users, and UI designers to deliver and integrate production solutions.
- Travel to client sites as required, ranging from 0% to 100% depending on business needs.
Requirements
- Bachelor's degree or equivalent minimum 12 years of work experience; an associate degree requires at least six years of work experience.
- At least three years of experience as a machine learning engineer or scientist deploying models in production at scale.
- At least three years of experience applying computer science foundations, computer architecture, systems engineering, and programming.
- At least one year of experience with distributed computing systems and architectures, such as big data, high-performance computing, scientific computing, grid computing, cloud computing, or distributed networks.
- At least one year of experience building and deploying AI/ML software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks such as TensorFlow or PyTorch is preferred.
- Experience with language model APIs and optimizing their use for specific applications is preferred.
- Experience with C++, Java, R, and SQL is preferred.
- Strong communication, client-facing, cross-functional collaboration, and consulting skills are preferred.
- A related master's degree or PhD is preferred.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan and bonus opportunities.
- Paid holidays and paid time off.
- Hourly base salary ranges from $22.45 to $77.88 depending on location, role, skills, and experience.
- Travel requirements may range from 0% to 100% based on business and client needs.
- U.S. employment requires work authorization without current or future visa sponsorship.
About Accenture
Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.