ML Engineer — Production AI Solutions (Detroit Onsite)

Eccalon; Detroit, Northern (MI, KY); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Eccalon is seeking a Machine Learning Engineer in Detroit to join the R&D team. You will design and implement large tailor-made ML systems, leveraging deep learning research to solve data-driven problems across domains.

Expect hands-on work from data wrangling to model deployment and production integration. The role requires a strong background in Python and ML fundamentals, with a track record of bringing ML projects into production and collaborating with stakeholders.

Qualifications

• BS in Computer Science or related field.
• 3+ years of professional Python software development.
• Mastery of deep learning fundamentals and statistics underpinning ML.
• History of software projects putting ML systems into production.
• Ability to work independently and in a team.
• Strong communication with non-technical stakeholders.

Responsibilities

• Build and optimize large ML systems for diverse domains.
• Create training and preprocessing pipelines for rapid experimentation.
• Integrate models into production codebases and business workflows.
• Deploy models to cloud platforms (AWS or GCP).
• Stay current with state-of-the-art ML methods and literature.

Skills

Python

Deep Learning

Statistics

Communication

Independent work

Team collaboration

Production ML

Education

BS in Computer Science

MS/PhD in ML

Tools

AWS

GCP

PyTorch

TensorFlow

Data Lake/ Warehousing

Job description

Eccalon is seeking a Machine Learning Engineer in Detroit to join the R&D team. You will design and implement large tailor-made ML systems, leveraging deep learning research to solve data-driven problems across domains.

Expect hands-on work from data wrangling to model deployment and production integration. The role requires a strong background in Python and ML fundamentals, with a track record of bringing ML projects into production and collaborating with stakeholders.