Machine Learning Pipeline Architect
7 days ago
Overview: LenDenClub is a leading peer-to-peer lending platform that provides an alternate investment opportunity to investors or lenders looking for high returns with creditworthy borrowers looking for short-term personal loans. With a total of 8 million users and 2 million+ investors on board, LenDenClub has become a go-to platform to earn returns in the range of 10%-12%.
About the Job: We are seeking a highly skilled MLOps Engineer to join our team and play a critical role in bridging the gap between machine learning model development and production deployment. As a technology-forward company, we are dedicated to implementing cutting-edge machine learning solutions that drive our business forward.
Key Responsibilities:
- Collaborate with data scientists and machine learning engineers to understand model requirements and design efficient MLOps pipelines.
- Design, develop, and implement CI/CD pipelines for machine learning models, including version control, testing, and automated deployment.
- Conduct continuous testing (CT) of models to ensure performance and identify potential issues before production deployment.
- Deploy machine learning models to production on cloud platforms, ensuring scalability, security, and high availability.
- Implement robust monitoring solutions to track model performance, resource utilization, and operational health.
- Utilize MLOps tools like MLflow or Kubeflow for model experimentation, tracking, and deployment.
- Monitor model performance in production and implement strategies for model drift detection and mitigation.
Requirements:
- Masters degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in MLOps or a related field.
- Proven experience in deploying Machine Learning (ML) and Deep Learning (DL) models to production.
- Proficiency in programming languages and frameworks such as Python, R, Scala, TensorFlow, PyTorch, and Scikit-learn.
- Experience in designing and implementing CI/CD pipelines for ML models with modern DevOps tools and containerization technologies.
Estimated Salary: $120,000 - $180,000 per year, depending on experience and qualifications.
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