Python Developer for Machine Learning Model Integration

4 days ago

Bengaluru Bangalore Noida, India beBeeMachineLearning Full time US$ 1,20,000 - US$ 1,50,000
Software Engineer II Job Description

We are seeking a highly skilled software engineer to join our team. As a software engineer, you will be responsible for designing and developing robust Python-based APIs that serve as the backbone for integrating and managing Machine Learning (ML) models within various platforms and applications.

Key Responsibilities:

  • Design, develop, test, deploy, and maintain high-quality, scalable, and secure Python-based RESTful APIs.
  • Collaborate closely with Data Scientists, ML Engineers, and Platform Engineers to understand requirements for integrating ML models.

Job Requirements:

  • 3+ years of professional software development experience.
  • Minimum 2+ years of hands-on experience developing backend services and APIs using Python.
  • Proven experience with Python web frameworks such as Flask, FastAPI, or Django.
  • Solid understanding of RESTful API design principles and best practices.
  • Good knowledge of Machine Learning concepts and the typical ML model lifecycle (data prep, training, evaluation, deployment, monitoring).
  • Familiarity with ML frameworks like TensorFlow/Keras or PyTorch, particularly concerning model saving, loading, and serving.
  • Experience with version control systems, preferably Git.

Preferred Qualifications:

  • Masters degree in Computer Science or a related field.
  • Experience working with cloud platforms (e.g., Azure, AWS, GCP) and their ML services (e.g., Azure ML, SageMaker, Vertex AI).
  • Experience with containerization technologies like Docker and orchestration tools like Kubernetes.

Benefits:

  • Opportunity to work with cutting-edge technologies.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.

What We Offer:

  • A competitive salary and benefits package.
  • The opportunity to work on challenging projects.
  • A collaborative and supportive work environment.

How to Apply:

  1. Send your resume and cover letter to us.
  2. Follow up with a phone call or email to confirm receipt of your application.

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