ML Platform Engineer — Generative AI & Scalable Infra

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

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.