Model Deployment Engineer

6 days ago

Bengaluru Chennai Hyderabad, India ti Steps Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role:

We are seeking a skilled Model Deployment Engineer to join our team to design, build, and maintain scalable and reliable deployment pipelines for machine learning models. You will collaborate closely with data scientists, ML engineers, and DevOps teams to operationalize machine learning models into production environments, ensuring robust, secure, and performant model serving.

Key Responsibilities:

  • Design, develop, and maintain end-to-end machine learning model deployment pipelines.
  • Collaborate with data scientists and ML engineers to productionize machine learning models.
  • Containerize machine learning models using Docker and orchestrate deployments using Kubernetes.
  • Implement and manage scalable model serving platforms such as TensorFlow Serving, TorchServe, Seldon Core, or MLflow.
  • Build and maintain APIs and microservices to expose model predictions to business applications.
  • Develop and maintain CI/CD pipelines tailored for ML workflows, ensuring automated testing, validation, and deployment of models.
  • Monitor deployed models for performance, latency, and accuracy; implement retraining triggers and rollback mechanisms.
  • Ensure security, compliance, and governance of ML deployment infrastructure.
  • Troubleshoot and resolve issues related to model deployment, scaling, and integration.

Preferred Skills:

  • Experience with feature stores and data versioning tools.
  • Knowledge of real-time and batch processing architectures.
  • Familiarity with security and compliance standards relevant to ML deployments.
  • Experience with distributed computing and scalable data pipelines.
  • Certifications related to cloud platforms or Kubernetes (CKA, AWS Certified ML Specialty).
  • Background in DevOps or SRE practices applied to ML systems.

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