AI Model Deployment Specialist

2 days ago

Guntur, Andhra Pradesh, India beBeeDeployment Full time ₹ 15,00,000 - ₹ 20,00,000
Job Overview

We are seeking an experienced AI Model Deployment Specialist to deploy and integrate AI/ML models into production environments.

Key Responsibilities:
  • Model Integration: Collaborate with AI/ML teams to integrate machine learning models into applications and services.
  • API Development: Design and implement APIs, SDKs, and microservices that enable seamless AI model consumption.
  • Reliability and Security: Ensure high availability, scalability, and security of AI services in production.
  • Model Monitoring: Implement CI/CD pipelines, observability tools, and monitoring systems to track and improve model performance.
  • Workflow Automation: Build automated pipelines for model retraining, versioning, and rollback.
  • Performance Optimization: Implement caching strategies, model compression, and other techniques to improve inference speed and system efficiency.
  • Cloud Infrastructure: Work with AWS, GCP, or Azure environments and support hybrid setups (cloud + on-prem).
  • Collaboration: Partner with DevOps, software engineers, and product teams to integrate AI capabilities smoothly into products and services.
Requirements

To be successful in this role, you will need:

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3 – 6 years of experience in software engineering, backend development, or MLOps.
  • Strong proficiency in Python with experience using FastAPI, Flask, or Django.
  • Experience integrating ML models with tools like TensorFlow Serving, TorchServe, ONNX, or custom model wrappers.
  • Hands-on experience with Docker, Kubernetes, and container orchestration.
  • Understanding of CI/CD pipelines, MLOps practices, and model lifecycle management.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
  • Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.

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