3 days ago
Base Salary
$63k - $220k/yr
Responsibilities
- Formulate business problems into practical, efficient, and scalable AI and machine learning solutions.
- Develop and implement machine learning algorithms, models, and computational systems.
- Build scalable data pipelines supporting model training and production with DevOps and MLOps.
- Customize and apply deep learning and generative AI models, including for edge-device and high-performance-computing use cases.
- Research and develop AI and high-performance-compute algorithms, models, simulations, and applications.
- Process large-scale datasets and implement efficient data storage and retrieval for models and knowledge.
- Deploy and maintain production AI/ML systems with monitoring, alerting, automatic bug filing, and auditing.
- Collaborate with business and technical stakeholders to justify model value and integrate solutions into production.
- Travel 0–100% depending on client and business needs.
Requirements
- At least 4 years of experience as a machine learning engineer or scientist deploying models in production at scale, including monitoring, alerting, automatic bug filing, and auditing.
- At least 4 years of experience applying computer science foundations, computer system architecture, system engineering, and programming.
- At least 4 years of experience with distributed computing systems and architecture, including areas such as big data, high-performance computing, engineering simulations, scientific computing, grid and cloud computing, or distributed networks.
- At least 2 years of experience building and deploying AI/ML-based software to a cloud environment.
- Bachelor's degree or equivalent minimum 12 years of work experience; an associate's degree requires at least 6 years of work experience.
- Experience with deep learning, generative AI, large language models, data pipelines, MLOps/LLMOps, and production AI/ML systems is relevant to the role.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan, bonus opportunities, paid holidays, and paid time off.
- Travel may be required at 0–100% depending on client and business needs.
- The posting is anticipated to remain open until December 31, 2026.
Categories
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.