Data-Driven Innovations Specialist

2 days ago

Erode, Tamil Nadu, India beBeeMachineLearning Full time ₹ 18,00,000 - ₹ 25,00,000

We are seeking a highly skilled professional to develop and maintain scalable machine learning pipelines and backend services. As an MLOps Engineer, you will be responsible for creating efficient ML systems that meet business requirements.

 

Key Responsibilities:

  • Design, Develop, and Maintain Scalable ML Pipelines and Backend Services:
  • Build, Deploy, and Manage Applications using Python and Frameworks like Tornado and FastAPI:
  • Work with RDBMS Models in Cloud Environments for Data Storage and Retrieval:
  • Design and Implement RESTful APIs, Including Token-Based Authentication and Compression:
  • Collaborate with Cross-Functional Teams in an Agile Environment to Deliver High-Quality Solutions:
  • Troubleshoot Issues, Optimize Performance, and Ensure Robust Version Control using Git/Bitbucket:

 

Required Skills:

  • 5+ Years of Backend Application Development Experience with Python:
  • Strong Knowledge of RDBMS and Cloud Database Models:
  • Hands-on Experience with Python Tornado and FastAPI Frameworks:
  • In-Depth Understanding of RESTful APIs, Token Authentication, and Compression Techniques:
  • Experience with Version Control and Issue Tracking Tools: Bitbucket, Git CLI, Jira:
  • Excellent Problem-Solving Skills and Ability to Work Collaboratively in a Team:

 

This is an exciting opportunity to work on cutting-edge projects and contribute to the growth of our organization. If you have a passion for machine learning and experience working with data-intensive applications, we encourage you to apply.

About this Role

The ideal candidate will have a strong foundation in software engineering, machine learning, and cloud computing. You will be responsible for designing, developing, and maintaining scalable ML pipelines and backend services. Your expertise in Python and experience with frameworks like Tornado and FastAPI will enable you to build robust applications that meet business requirements.

What We Offer

We offer a competitive compensation package, comprehensive benefits, and opportunities for career growth and professional development. Our team is passionate about innovation and excellence, and we strive to create a collaborative and inclusive work environment.

How to Apply

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