Cleo · 1 day ago
ML Engineer I
Remote - US
Full-time
Remote
Entry Level, Intern/New Grad
0+ years exp
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Responsibilities
Productize ML Models: Work alongside data scientists who originate and design machine learning models to take these prototypes from concept to production-ready solutions. Focus 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 that they function reliably and are easily maintainable. This includes some DevOps practices such as CI/CD pipelines for model deployment.
Data Preparation and Feature Engineering: Work with data scientists to 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, 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.
Qualification
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Required
0-2 years of experience in machine learning engineering or a related field.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
Basic understanding of machine learning algorithms, deployment practices, and integration.
Some exposure to integrating machine learning models into products or production systems.
Passion for AI/ML and a desire to contribute to solving business problems through machine learning.
Familiarity with DevOps practices in model deployment, including CI/CD pipelines, version control, and automated testing.
Benefits
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
Company
Cleo
Cleo offers enterprise integration software solutions that enable managed file transfer, network fax, and interactive messaging activities.
201-500 employees
H1B Sponsorship
Cleo has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (9)
2021 (4)
2020 (4)
Funding
Current Stage
Growth StageTotal Funding
$3.5MKey Investors
H.I.G. CapitalPeterson Partners
2021-06-09Private Equity· Undisclosed
2017-03-31Debt Financing· Undisclosed
2012-05-16Series Unknown· $3.5M
Leadership Team
Mahesh Rajasekharan
CEO
Dave Brunswick
Senior Vice President of Products
Recent News
2024-04-30
2024-03-28
Company data provided by crunchbase
