AI Devops mlops fast api

0 years

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Posted:3 days ago| Platform: Linkedin logo

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Full Time

Job Description

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Role Description

This is a full-time, on-site role for an AI MLOps FastAPI Engineer located in Gurugram. The AI MLOps FastAPI Engineer will be responsible for developing and maintaining API services using FastAPI, implementing MLOps practices, managing machine learning models in production, and ensuring the scalability and stability of the AI solutions. The Engineer will also collaborate with data scientists, software engineers, and stakeholders to streamline the deployment process and optimize model performance. Key tasks include deploying models, monitoring, logging, and automating workflows to improve the efficiency and reliability of AI systems.


Qualifications

  • Proficiency in FastAPI, RESTful API development
  • Experience with MLOps practices, including CI/CD pipelines, containerization, and orchestration tools like Docker and Kubernetes
  • Strong understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms like AWS, Azure, or GCP
  • Excellent problem-solving skills and the ability to troubleshoot issues in production environments
  • Strong communication skills and the ability to work collaboratively in a team environment
  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
  • Prior experience in the AI or Eucation in AI is a plus
  • Willingness to learn and adapt to new technologies and methodologies

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