Tuyển dụng Kiểm tra với người bán Việc làm it Hà Nội: 03 Machine Learning - DevOps Engineer (Python/Cloud) CMC Global

Việc làm it tuyển dụng nhân viên, chuyên viên làm việc tại Hà Nội cần tuyển gấp 03 Machine Learning - DevOps Engineer (Python/Cloud) cho CMC Global


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At ANZ Plus, our purpose is to shape a world where people and communities thrive. We are making this happen by improving our customers’ financial wellbeing so they can achieve incredible things – be it buying a home, building a business, or saving for things big or small. We are looking for people who are passionate about transformational change and to help us redefine banking for the future.  Be a part of building the 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.What will your day look likeYour 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 enables data 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 including business partners, risk, legal and security teams, as well as UX designers and architects to 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"





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To grow and be successful in this role, you will bring extensive analytical and technical skills, business acumen and natural curiosity to deliver on product investigations and analysis and support initiatives through insights.You will ideally bring the following:
Proficiency in one of the scripting/programming languages (Python).
Experience in building data products using GCP/ AWS technologies such .
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
You’re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we’d love to hear from you.


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