Machine Learning Specialist
5 days ago
Cleo is a rapidly growing category leader in ecosystem integration software, with over 4,000 customers worldwide. We're seeking an experienced Machine Learning Engineer I to join our team and help drive business outcomes through innovative machine learning solutions.
About the Role
- Develop and Implement Machine Learning Models: Utilize your expertise in machine learning engineering to develop and implement machine learning models that deliver business value.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and product teams to ensure seamless integration of AI/ML models into products, services, and applications.
- Ensure Scalable and Efficient Models: Focus on building scalable and efficient models for integration into live environments, working alongside data scientists to take machine learning prototypes from concept to production-ready solutions.
- Optimize and Scale Machine Learning Models: 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.
- Monitor and Maintain Deployed Models: Monitor deployed models, check for performance drift, and work on necessary model updates, integrating monitoring tools for tracking model health.
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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