Data Science Engineer

3 weeks ago

Albany, New York, United States Cleo Full time

Cleo is a cloud integration technology company focused on delivering solutions that make it easy for our customers to realize their potential. As a Cloud-Based Machine Learning Engineer, you will be responsible for developing and implementing machine learning models that deliver business value.

About the Role

  • Productize ML Models: Work with data scientists to take machine learning prototypes from concept to production-ready solutions, focusing on building scalable and efficient models for integration into live environments.
  • End-to-End Model Deployment: Help deploy machine learning models into production environments, ensuring reliable function and maintainability, including DevOps practices such as CI/CD pipelines for model deployment.
  • Data Preparation and Feature Engineering: Collaborate with data scientists to preprocess, clean, and transform data 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, incorporating DevOps principles to streamline processes.
  • Monitoring and Maintenance: Monitor deployed models, check for performance drift, and work on necessary model updates, integrating monitoring tools for tracking model health.
  • 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, performance metrics, and best practices.
  • Stay Current: Learn about emerging trends in AI/ML technologies and apply new methods to improve product offerings.

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.

Award-Winning Company Culture

  • Competitive Salary: $120,000 - $150,000 per year
  • Great Healthcare + Dental + Vision
  • Flexible PTO
  • Culture of support, encouraging Life-Work balance
  • 401k match
  • FSA and HSA options
  • Employee Assistance Program
  • Paid Parental Leave
  • Representing a company with 4,000+ clients and a 99% retention rate
  • Accelerated title and salary growth potential
  • A fun and energetic work environment that makes you excited to go to work every day

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