Machine Learning Pipeline Architect

7 days ago


Navi Mumbai, Maharashtra, India LenDenClub Full time

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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