MLOps Engineer
Indexed description
Job Description
We are seeking MLOps Engineers with the zest and passion to work on our in-house machine learning platform, which covers the whole life-cycle of machine learning, from data collection and augmentation pipeline, to model training and serving, to monitoring and analysis. You will be joining our R&D team working closely with Data Scientists, Research Scientists, and Software Engineers to build a highly scalable system that can handle billions of requests per day, all delivered in milliseconds.
In this role, you will work on large-scale and low-latency ML systems. You need to acquire a deep technical understanding of the platform, work with our cross-country team located regionally to learn about the business and technical analytics requirements, and translate them into production system.
Key Responsibilities
- Plan, design and develop components in the data pipeline to enable various machine learning models in production.
- Work closely with Data Scientists and Research Scientists to translate the state-of-the-art to production systems
- Develop metrics to measure the outcome/impact of your introduced solutions
- Investigate the existing pipeline, identify bottlenecks and optimize the throughput and latency of ML components
- Evaluate and identify new technologies for implementation
- Communicate with our business and technical teams to understand the analytics requirements
- Strong knowledge of Java, Python;
- Strong knowledge of algorithms and data structures;
- Strong in analytics and problem solving technique;
- At least 1-2 year working experience as ML/Data/Software Engineer or equivalent;
- Understanding of online advertising technology and RTB is a strong plus;
- Willingness to learn and able to pick up new technology or new concepts fast;
- Able to work independently as well as in collaborative mode with minimum supervision;
- Familiarity with using LLMs and AI coding assistants for development is a plus;
- Reasonable communication in written and spoken English
- Competitive remuneration package including quarterly bonus and performance review opportunities
- Full participation in mandatory insurance programs in accordance with Vietnamese Labor Law
- Healthcare insurance package and annual health check-up
- Comprehensive benefits scheme such as W3F (Work, Wellbeing, Welfare) Fund for courses, materials, personal health and wellbeing
- Work from home benefits
- You will have the advance to influence and drive the changes, at Knorex we welcome good ideas and accept any possibility to make our company great
- We offer great learning opportunities; you will have exposure to cutting edge performance marketing and advertising technology
- Opportunity to work cross-country and with a variety of projects of a different nature
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