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Machine Learning Engineer

Fusion Risk Management is a fast-growing, innovative company committed to fostering a supportive, inclusive environment and recognized by the Chicago Tribune and Built in Chicago for its culture!

Fusion is a leading provider of cloud-based software solutions for operational resilience, encompassing risk management, third-party risk management, information technology and security risk, business continuity and disaster recovery, and crisis and incident management. Recognized by Gartner, Forrester, Deloitte, and more, we seek to build a more resilient world by empowering organizations to make data-driven decisions and helping them achieve greater overall resilience.

Our flagship product, The Fusion Framework® System™, delivered on the Salesforce Lightning Platform, provides companies a North Star for operational resilience. Fusion serves mid-size organizations to Fortune 50 companies across various verticals including financial services, manufacturing, energy and utilities, retail, pharmaceuticals, and education.

We are looking to add talented individuals to our team who are passionate about our vision to build a resilient world together and inspired by the challenge of solving key business problems. We seek can-do people who fit the culture, align with our core values, and prioritize continued personal and professional development. If this sounds like you, read on!

Core Values

Our values are at the center of our company. They are the core ethics and principles that help define our personality as an organization and help give us focus and purpose. They are overarching, building blocks of our culture and can always be used as a consistent reference point our company-wide ethics.

Trust: Earn teammates’ trust and assume positive intent; act with integrity; respect diversity of thought, skills, and background
Passion: Make a difference; don’t wait until you’re asked or instructed; maintain a bias to action and impact
Collaboration: Think systematically and see your role within the bigger picture; be accountable for your part of team success; put your teammates in a position to thrive
Customer Centricity: Demonstrate a solid commitment to customer success by providing positive and consistent customer experiences (exhibiting professionalism, patience, respect, and knowledge); Proactively engage our customer community, seek customer feedback – be open to listening – and actively incorporate the voice of the customer into daily activities
Growth: Strive for excellence; embrace change; prioritize continuous improvement

The Role

We're looking for a product-minded Machine Learning Engineer to pioneer the engineering of intelligent resilience systems at Fusion. This role will focus on designing, building, deploying, and operating production-grade machine learning systems-including reinforcement learning and optimization-driven intelligence-to power the next generation of resilience capabilities.

You will architect and deliver scalable ML systems that unify resilience data from some of the world's largest and most systemically important organizations. This includes building robust model pipelines, integrating simulation and optimization engines into production services, and establishing strong ML Ops and AI Ops practices to ensure reliability, performance, and governance at scale.

This is a high-ownership role for someone who thrives at the intersection of software engineering and machine learning-someone who wants to build durable AI/ML infrastructure, ship intelligent product features, and solve complex real-world operational resilience challenges.

Key Responsibilities

Design, build, deploy, and maintain production machine learning systems, including reinforcement learning components and intelligent optimization-driven features.

Architect scalable ML pipelines for training, validation, deployment, monitoring, and automated retraining.

Maintain and expand operations for simulation (Monte Carlo, Bayesian Networks) and optimization engines (linear, constraint, CP-SAT) for continued reliable service.

Own ML Ops and AI Ops practices, including CI/CD for models, automated testing, model validation, performance monitoring, drift detection, observability, and governance frameworks.

Refactor and harden existing AI systems to improve scalability, latency, cost efficiency, and fault tolerance.

Build and maintain data pipelines and feature engineering workflows that support reliable and reproducible model training.

Collaborate closely with product and engineering teams to translate resilience use cases into scalable, maintainable ML-powered product capabilities.

Contribute to the design of Fusion's ML architecture, infrastructure standards, and long-term intelligent systems roadmap.

Knowledge, Skills, and Abilities

Strong software engineering foundation with hands-on experience building and deploying machine learning systems in production environments.

Experience designing ML architectures, APIs, and services that integrate with enterprise SaaS platforms.

Deep understanding of model lifecycle management: experimentation, validation, deployment, monitoring, retraining, and versioning.

Experience with reinforcement learning, decision systems, simulation modeling, or optimization techniques.

Strong experience building scalable data and feature pipelines using cloud-native tools (e.g., Azure, Snowflake, dbt, Salesforce integrations, or similar platforms).

Proficiency in writing clean, maintainable, well-tested code with version control, CI/CD, and observability best practices.

Familiarity with containerization and distributed systems (Docker, Kubernetes, serverless architectures, or similar).

Ability to design modular, extensible ML systems that evolve alongside product requirements.

Strong communication skills and the ability to explain system behavior, tradeoffs, and architectural decisions to technical and non-technical stakeholders.

Qualifications (Education and Experience)

Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Engineering, or a related field.

3+ years of experience building, deploying, and operating machine learning systems in production environments.

Experience with reinforcement learning, decision intelligence systems, or control systems (strongly preferred).

Experience with simulation, optimization, constraint programming, or operations research techniques (preferred).

Experience building ML pipelines in cloud environments (Azure preferred).

Experience implementing ML Ops tooling for testing, validation, monitoring, retraining, and governance (preferred).

Experience deploying AI-powered systems within enterprise SaaS environments (nice to have).

Milestones for the First Six Months

In One Month, You Will:

Complete onboarding and gain familiarity with Fusion's resilience domain, existing product line, simulation and optimization engines.

Contribute code to existing ML systems and participate in production improvements.

Review and assess current ML pipeline and deployment practices.

In Three Months, You Will:

Design and deploy at least one production-ready ML component or reinforcement learning module.

Improve reliability, performance, or scalability of existing intelligent systems.

Implement monitoring, validation, and automated testing for one production AI/ML system.

In Six Months, You Will:

Own and deliver a production-grade intelligent capability (e.g., adaptive optimization engine, reinforcement-driven decision module, or production-trained GPT workflow).

Establish baseline ML Ops standards for model deployment, monitoring, retraining, and governance.

Lead architectural improvements to Fusion's ML infrastructure.

Propose and prototype new ML-driven product capabilities that extend Fusion's resilience intelligence platform.

Compensation & Benefits

The annual base salary range for this position is $135,000-$155,000, depending on experience, qualifications, and relevant skill set. The position is also eligible for an annual bonus. Fusion offers a comprehensive benefits package including medical, dental, vision, and a 401(k) plan.

Disclaimers

Fusion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, age, pregnancy, military service or discharge status, genetic information, sex, sexual orientation, gender identity, or national origin. Nothing in this job posting should be construed as an offer or guarantee of employment.

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