Machine Learning Engineer
3 days ago
We are now looking for a Machine Learning Engineer to bring in new competence to our new organization Business Tech.
You will play an important role in setting the foundation and creating our future organisation, Furthermore, you will:
Pairing with Data Scientists, develop machine learning software product including but not limited to explore large data set, try out new algorithms, feature engineering, test and evaluate model output, deploy the solution for production usage and also scale out to the comprehensive fashion network of H&M
Design, develop and maintain the large-scale data infrastructure required for the machine learning projects
Leverage on understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
Develop tool and framework to address common needs in machine learning project like model traceability, feature reuse, A/B test, etc.
Work in cross-functional agile team of highly skilled engineers, data scientists, business stakeholders to build the AI ecosystem within H&M
QUALIFICATIONS
Minimum Qualifications
You have a degree in Computer science or similar fields, such as software engineering, or equivalent practical experience
You are a hands-on person and love coding as much as breathing. You like applying software engineering practices to machine learning projects.
You have experience in developing software products that went to production
You have experience in coding in modern programming languages, such as, Python, Java, Go, etc.
You have some experience in cloud technologies
Preferred Qualifications
You have experience in deploying machine learning applications to production
You are a fluent Python programmer
You have experience in handling high volume heterogeneous data in batch and/or stream applications using Spark or other distributed computing paradigms
You have a solid understanding of data structures, databases, and data storage technologies applicable particularly to data intensive applications
You have solid experience in Azure or Google Cloud
You have exposure to scalable, highly available, fault tolerant, and secure system design and implementation
You have experience in agile ways of working, team collaboration, data-driven development, reliable and responsible experimentation
You embody the DevOps principle and have hands-on experience in modern DevOps practices
You have experience in software product lifecycle management, including designing, prototyping, implementing, testing, packaging, deployment, integration, maintenance, etc.
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