AI/ML Computational Science Engineer
$39k - $77k • Remote • Chicago, Accenture Tower, Corp
Posted 1d ago
Job Location
Chicago, Accenture Tower, Corp
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients. This involves combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role will span the entire solution lifecycle, from assessing client needs and data, to selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models). You will also design scalable data and MLOps pipelines for training and production, and ensure the quality, value, and reliability of deployed systems. Travel may be required for this role, varying from 0 to 100% depending on business needs and client requirements.
Responsibilities
- 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 business needs, data availability, system, and infrastructure requirements.
- Engage in research and development of new AI and high-performance compute algorithms, models, and simulations.
- Work with large-scale datasets and utilize data preprocessing techniques.
- Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge.
- Justify the value of model approaches in business problems.
- Collaborate with business and technical teams to achieve end-to-end project goals and integrate into production.
Requirements
- Bachelor's degree or equivalent (minimum 12 years) work experience, or Associate's Degree with minimum 6 years work experience.
- Minimum 3 years of experience as a machine learning engineer or scientist, deploying models in production at scale.
- Minimum 3 years of experience applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming.
- Minimum 1 year of experience in distributed computing systems and architecture.
- Minimum 1 year of experience building and deploying AI/ML based software to a cloud environment.
- Proficiency in Python and Python-based AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Experience working with LLM APIs and optimizing their usage.
- Experience with programming languages: Python, C++, Java, R, SQL.
- Strong written & verbal communication skills.
- Strong client-facing skillsets in a consulting environment.
- Strong cross-functional collaboration skills.
- Entrepreneurial mindset with a passion for emergent tech and innovation.
- MS or PhD in a related field (computer science, engineering, etc.) preferred.
Benefits
- Medical, dental, vision, life, and long-term disability coverage
- 401(k) plan
- Bonus opportunities
- Paid holidays
- Paid time off