ekino 4.0 ★

Be a part of buildingthe ideal data and ML/AI ecosystem from scratch.Spearhead the integration of the latest capabilities to enhance customer experiences and transform business operations. Embrace the vision of democratizing ML/AI technology, making it accessible to all by establishing robust engineering standards, simplifying complexities, and designing effective controls and guardrails. This leadership role goes beyond conventional boundaries, empowering you to lead and innovate across many aspects of our data enablement value stream.
Your role as an MLOps Engineer will be similar to DevOps engineer, with stretched focus on productionizing Machine Learning features.
Design and implement scalable AI solutions that enablesdata engineers and ML scientists to train, build and maintain machine learning models effectively.
Develop automated processes for continuous model training and evaluation pipelines specifically for ML applications.
Ensure the seamless integration of ANZ Plus's current architecture with newly added ML functionalities, enhancing overall system capabilities.
Collaborating with diverse stakeholders includingbusiness partners, risk, legal and security teams, as well as UX designers and architectsto define and implement robust validation and verification strategies
Fostering a culture of quality coding practices, including test-driven development, unit testing and secure coding awareness
Focus on business practicality and the 80/20 rule, aiming for high bar for code quality, but recognize the business benefit of "having something now" vs "perfection sometime in the future".Bachelor's degree in Computer Science or equivalent.
At least 2 years of technical experience with AI Engineer/ ML Engineer/ MLOps Engineer or equivalent
Proficiency in one of the scripting/programming languages (Python).
Experience in building data products using GCP/ AWS technologies
Experience with containerization, Terraform, and GitOps principles for automation and deployment.
Strong background in ML concepts and applications and in-depth knowledge of MLOps best practices.
Agile development mindset, appreciating the benefit of constant iteration and improvement
Have experience of addressing Tech Debt with minimizing production incidents
Familiarity with RAG architectures and/or have a good understanding of its application
Good command of English both written & oralSalary: Completely feel free to tell us your expected number!!!
18 paid leaves/year (12 annual leaves and 6 personal leaves)
Insurance plan based on full salary + 13th month salary + Performance bonus
Meal allowance of 730,000 VND/month
100% full salary and benefits as an official employee from the 1st day of working
Medical benefit for employee and family
Working in a fast-paced, flexible, and multinational working environment.
Chance to travel onsite (in 49 countries)
Free snacks, refreshment, and parking
Internal training (Technical & Functional & English)
Working with outstanding colleagues coming from top universities and top companies in Vietnam and foreign countries
Friendly environment with flexible working hours, hybrid mode.