ML Engineering Consultant

Inspire11; Chicago (IL); On-site; USD 100,000 - 120,000; Full time

Job summary

A modern consulting firm in Chicago is seeking an individual to design scalable machine learning infrastructure and develop innovative Generative AI solutions. The ideal candidate will be proficient in cloud architectures, CI/CD, and possess strong software engineering principles. Responsibilities include monitoring ML models in production and ensuring compliance. This role requires onsite collaboration to enhance team dynamics. Candidates must be authorized to work in the U.S. and alliances with stakeholders are essential.

Qualifications

• Proficient in designing scalable machine learning infrastructure.
• Experience with CI/CD pipelines for model deployment.
• Ability to monitor models in production and ensure security/compliance.

Responsibilities

• Design scalable machine learning infrastructure.
• Monitor models in production.
• Develop Generative AI solutions.
• Preprocess and analyze datasets.
• Develop and fine-tune ML models.
• Communicate results to stakeholders.

Skills

Strong software engineering principles

Cloud architecture proficiency (AWS, Azure, GCP)

CI/CD and DevOps familiarity

Data preprocessing and ML techniques expertise

Model evaluation and use of libraries like TensorFlow, PyTorch

Cloud services and infrastructure knowledge

Job description

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we’re a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn’t something we talk about — it’s something we live, every day.

At Inspire11, we’re not just offering a job; we’re providing a platform for you to transform the future. You’ll feel right at home here if you think differently, build boldly, and lead with impact. We’re a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed.

What you can expect in this role

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine‑tuning ML models to optimize for performance
• Communicating results to stakeholders

Tools for success

• Strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Cloud services and infrastructure knowledge

This role requires willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in‑person collaboration and build stronger relationships.

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment.

EEOC

Inspire11 is an Equal Opportunity Workplace and an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at [e-mail].