ML Engineer at Yubi - ScoutJobs - The AI-curated global job board
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Yubi
Posted 8 hours ago

ML Engineer

YubiML Engineer

Requirements

3+ years professional experience in MLOps or software engineering, Strong expertise in Python, Hands-on experience with Docker and Kubernetes, Proficiency with MLOps frameworks like MLflow, Seldon, or Kubeflow, Experience with cloud ML services (AWS, Azure, or GCP)

Skills

PythonDockerKubernetesAWS

About the role

Responsibilities

  • Develop and maintain the core ML platform to standardize model development and deployment workflows.
  • Create and evangelize reusable MLOps components to accelerate the Data Science model lifecycle.
  • Design and implement seamless integration of trained models with diverse production systems.
  • Implement robust logging and instrumentation for real-time monitoring of model scoring requests.
  • Establish automated systems for continuous model monitoring and performance-based retraining.
  • Design advanced deployment strategies, including Blue-Green Deployment and A/B testing frameworks.
  • Optimize model inference at scale using request-based scaling and efficient load distribution.
  • Enhance CI/CD efficiency through Docker layer optimization and GitOps-style operations.
  • Scale and manage compute resources, including troubleshooting KEDA-based scaling and exploring advanced GPU architectures.
  • Automate model and infrastructure configuration using tools like MLflow and cloud storage.

Requirements

  • 3+ years of professional experience in MLOps or software engineering with a focus on deploying production-ready ML models.
  • Strong expertise in Python and advanced scripting for pipeline automation.
  • Extensive hands-on experience with Docker and Kubernetes for managing containerized ML environments.
  • Deep proficiency with MLOps frameworks such as MLflow, Seldon, or Kubeflow.
  • Experience with production-level cloud ML services (AWS SageMaker, Azure ML, or GCP AI Platform).
  • In-depth understanding of public cloud infrastructure (AWS, Azure, or GCP).
  • Proven ability to evaluate, prototype, and implement open-source tools to guide the MLOps technology stack.
  • Excellent problem-solving skills and a strong analytical mindset.

About the Company

Yubi is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. As a leading fintech unicorn, Yubi provides a holistic product suite for the discovery, investment, fulfillment, and collection of debt solutions. We are a fast-growing team of highly motivated individuals dedicated to transforming the global institutional debt market through technology.

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ML Engineer

Yubi · Chennai

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