Machine Learning Operation Engineer (MLOps Engineer)

Duties and Responsibilities :

• Provides deep technical expertisein the aspects of cloud infrastructuredesign and APIdevelopment for the business environments.
• Bridgesthe gap between data scientists and software engineers, enabling the efficient and reliable delivery of ML - powered solutions
• Ensures solutions are well designedwith maintainability / ease of integration and testing across multipleplatforms.
• Possess strong proficiency in development and testing practices common to the industry

Summary of Principal Job Responsibility & Specific Job Duties and Responsibilities :

Academic Qualification(s) :

Bachelor's degree in computer science, Engineering or related subject and / or equivalent formal training or work experience

Work Experience / Skills Requirement(s) :

Minimum 2 years of hands-on experience managing cloud infrastructure (e.g. AWS,GCP,Azure) in a production environment

Proficient in building and maintaining RESTful or gRPC APIs for ML inference and data services

Proven experience working with relational databases (RDBMS) such as Microsoft SQL Server and PostgreSQL.

Demonstrated expertise in building scalable and maintainable API services using Python frameworks such as Flask, FastAPI, or Litestar.

Experience in integrating models using NCNN, MNN, or ONNX Runtime Mobile on mobile and edge devices.

Ability to set up monitoring (e.g., Prometheus, Grafana) and logging (e.g., ELK stack, Loki) to track model performance and system health.

Strong analytical and troubleshooting skills.

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