4 days ago
Chicago, IL, USAMid Level
Responsibilities
- Formulate business problems into practical, 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 for edge-device and high-performance computing use cases.
- Research and develop AI, high-performance computing, simulation, and scientific-computing algorithms and applications.
- Deploy and maintain production AI/ML systems, including data storage and retrieval, monitoring, alerting, automatic bug filing, auditing, and reliability processes.
- Collaborate with business stakeholders, engineers, architects, users, and UI designers to integrate solutions into production.
- Travel to client sites as required, ranging from 0% to 100% depending on business needs.
Requirements
- Bachelor's degree or equivalent with a minimum of 12 years of work experience; alternatively, an associate degree with a minimum of 6 years of work experience.
- At least 3 years of experience as a machine learning engineer or scientist deploying models in production at scale.
- At least 3 years of experience applying computer science foundations, computer architecture, systems engineering, and programming.
- At least 1 year of experience with distributed computing systems and architectures, including potential big data, HPC, grid, cloud, network, engineering simulation, or scientific computing environments.
- At least 1 year of experience building and deploying AI/ML software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks, with familiarity with libraries such as TensorFlow and PyTorch.
- Experience with language-model APIs and optimizing their use for specific applications.
- Experience with Python, C++, Java, R, and SQL is preferred.
- Strong communication, client-facing, cross-functional collaboration, and ability to explain technical concepts to nontechnical stakeholders.
- 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.
- Hourly compensation varies by location, with listed ranges from $22.45 to $77.88 per hour.
- Travel may range from 0% to 100% based on business and client requirements.
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.