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# AI/ML Engineer

- **Company:** Beneficial Company LLC
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Salary:** $125,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Engineering, Computer Engineering, Distributed Computing Environment, Expert Systems, Machine Learning, Software Construction, Software Engineering, Unstructured Data, Reinforcement Learning, Large Language Models, Generative AI, Information Technology, Machine Learning Operations
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/82cdd856-4ab1-4e86-bc0d-f2882cc98420

## About the Role

* Bachelor's degree and Master's degree in Computer Science, Software Engineering, Computer Engineering, Data Science, or Artificial Intelligence, or equivalent experience
 * 5 or more years of professional experience in AI/ML Engineering, with demonstrated work across multiple AI domains
 * Strong communication, documentation, and collaboration skills

Bolton & Menk will currently not be providing visa sponsorship or Optional Practical Training Extensions for STEM Students. Individuals must be legally authorized to work in the US at the start of employment without a need for current or future visa sponsorship.

## Description

The AI/ML Engineer is a multidisciplinary technical expert responsible for developing and deploying intelligent systems across a wide spectrum of AI capabilities. This role requires deep expertise in traditional machine learning, scalable data science, classical AI techniques, and cutting-edge generative and agentic solutions. A robust software engineering background is essential to ensure the reliability, scalability, and maintainability of AI/ML systems in production.

 * Design and implement ML models for structured and unstructured data across supervised, unsupervised, and reinforcement learning paradigms.
 * Build scalable data science solutions using distributed computing frameworks and cloud-native architectures.
 * Develop classical AI systems including rule-based engines, expert systems, and symbolic reasoning components.
 * Architect and deploy generative AI models (e.g., LLMs, diffusion models) and agentic frameworks for autonomous decision-making.
 * Collaborate with MLOps and infrastructure teams to ensure seamless deployment, monitoring, and lifecycle management of models.
 * Write clean, modular, and testable code for AI/ML applications, adhering to software engineering best practices.
 * Engage with stakeholders to translate business needs into technical solutions and deliver measurable impact.