Machine Learning Operations Specialist

2 days ago


Tiruppur, Tamil Nadu, India beBeeMllops Full time ₹ 20,00,000 - ₹ 30,00,000

We are seeking a highly skilled MLOps Engineer to drive cutting-edge machine learning projects forward.

Job Summary:
  • This is an exciting opportunity for a talented MLOps Engineer who wants to make a meaningful impact by developing and maintaining scalable machine learning pipelines and backend services using Python and frameworks like Tornado and FastAPI.
Key Responsibilities:
  1. Pipeline Development: Develop, deploy, and manage applications in cloud environments for data storage and retrieval. Ensure robust version control using Git/Bitbucket.
  2. Backend Services: Build, deploy, and maintain scalable machine learning pipelines and backend services using Python and frameworks like Tornado and FastAPI.
  3. Data Storage: Work with relational database management systems (RDBMS) models for efficient data storage and retrieval.
  4. RESTful APIs: Design and implement RESTful APIs, including token-based authentication and compression techniques.
  5. Collaboration: Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions.
  6. Troubleshooting: Troubleshoot issues, optimize performance, and ensure robust version control using Git/Bitbucket.
Required Skills and Qualifications:
  • Backend Experience: 5+ years of backend application development experience with Python.
  • RDBMS Knowledge: Strong knowledge of RDBMS and cloud database models.
  • Framework Expertise: Hands-on experience with Python Tornado and FastAPI frameworks.
  • API Design: In-depth understanding of RESTful APIs, token authentication, and compression techniques.
  • Version Control: Experience with version control and issue tracking tools: Bitbucket, Git CLI, Jira.
  • Problem-Solving: Excellent problem-solving skills and ability to work collaboratively in a team.
Benefits:
  • Cutting-Edge Projects: Opportunity to work on cutting-edge machine learning projects.
  • Dynamic Environment: Collaborative and dynamic work environment.


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