1 day ago
Boston, MA, USA +35 moreMid Level
Base Salary
$54k - $206k/yr
Responsibilities
- Formulate real-world business problems into practical, efficient, and scalable AI and machine learning 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 solutions for edge devices and high-performance computing environments.
- Research and develop AI, high-performance computing, algorithmic, modeling, and simulation solutions for complex client problems.
- Process large-scale datasets and implement efficient data storage and retrieval mechanisms for models and knowledge.
- Deploy and operationalize AI/ML systems with production monitoring, alerting, automatic bug filing, auditing, DevOps, and MLOps practices.
- Collaborate with business and technical stakeholders to integrate solutions into production and communicate their business value.
Requirements
- At least 2 years of hands-on experience with Snowflake Cortex AI, including Cortex Agents, Cortex Analyst, and Cortex Search.
- At least 3 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 3 years applying computer science foundations involving computer architecture, systems engineering, and programming.
- At least 1 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 1 year of experience building and deploying AI/ML software to a cloud environment.
- Bachelor's degree or equivalent experience, with an associate-degree alternative requiring at least 6 years of work experience.
- Strong written and verbal communication, client-facing consulting skills, and cross-functional collaboration abilities.
- Preferred qualifications include Python and Python-based AI/ML frameworks and libraries such as TensorFlow and PyTorch.
- Preferred experience includes using LLM APIs and optimizing them for specific applications, plus programming in Python, C++, Java, R, and SQL.
- A master's or PhD in a related field such as computer science or engineering is preferred.
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 from 0% to 100% depending on business needs and client requirements.
- The posting is expected to remain open until September 30, 2026.
- The role is available across listed U.S. locations with location-specific annual salary ranges.
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.