Machine Learning Engineer I

1 day ago


Lansing, Michigan, United States Cleo Full time

About Cleo

Cleo is a cloud integration technology company focused on delivering business outcomes. We ensure that each one of our 4,000+ customers realizes their potential by providing solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows.

As a leader in ecosystem integration software, we have experienced tremendous growth over recent years, making us an exciting place to work.

Your Role

You will be responsible for developing, implementing, and productizing machine learning models that deliver business value. This role focuses on transforming machine learning prototypes into scalable, production-grade solutions.

What You Will Be Doing

  • Productize ML Models: Work alongside data scientists to take machine learning prototypes from concept to production-ready solutions.
  • End-to-End Model Deployment: Deploy machine learning models into production environments, ensuring they function reliably and are easily maintainable.
  • Data Preparation and Feature Engineering: Preprocess, clean, and transform data to prepare it for production-grade machine learning models.
  • Collaborate with Product Teams: Support product managers and stakeholders in defining model requirements and ensuring alignment with product goals.
  • Model Optimization and Scaling: Assist in optimizing machine learning models to improve performance and scalability for large-scale production environments.
  • Build and Maintain ML Pipelines: Help build and maintain ML pipelines to automate model training, testing, and deployment.
  • Monitoring and Maintenance: Monitor deployed models, check for performance drift, and work on necessary model updates.
  • Model Evaluation and Reporting: Assist in evaluating model performance, analyzing metrics, and suggesting improvements.
  • Documentation and Best Practices: Support documentation efforts related to model deployment processes and performance metrics.

Your Qualifications

  • Experience: 0-2 years of experience in machine learning engineering or a related field.
  • Education: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Technical Expertise: Basic understanding of machine learning algorithms, deployment practices, and integration.
  • Product Focus: Some exposure to integrating machine learning models into products or production systems.
  • Enthusiasm for AI/ML: Passion for AI/ML and a desire to contribute to solving business problems through machine learning.
  • DevOps Exposure: Familiarity with DevOps practices in model deployment, including CI/CD pipelines, version control, and automated testing.

Compensation and Benefits

We offer a competitive salary range of $120,000 - $180,000 per year, based on experience, plus benefits such as great healthcare, flexible PTO, and a culture of support that encourages life-work balance.

A Few Things We Have to Offer

  • Competitive compensation and benefits package
  • Great healthcare, dental, and vision insurance
  • Flexible PTO and paid parental leave
  • Culture of support and encouragement
  • 401k match and FSA/HSA options
  • Employee assistance program and accelerated title/salary growth potential


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