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- Job Description
- Productionize models: architectural design, develop, test, deploy the whole software components as microservices, Databricks workflows, ADF pipelines, etc. to serve in high load environments.
- Work closely with data scientists to track performance, set up model monitoring, automated alerts, and further optimize features/models.
- You will be working on data pipelines and ETL of thousands of tables.
- Ingesting data from various sources: Azure Blob, sFTP, Kafka, SQL Server, REST API.
- Running models and integrate into several destinations: Azure Blob, S3, sFTP, Kafka, Databases, emails, MS teams notifications, etc.
- Further enhance and maintain our in-house platform for managing and automating Features and Models. This involves full stack site, Databricks, job scheduling tools, helper library, and a lot of problem-solving skills.
- Qualifications
- Ideal academic background would be a BSc or MSc degree in computer science, software engineering, or information technology.
- Proficiency with Spark, SQL, Python or Scala.
- Experience in Software development life cycles: code, unit tests, git or other SCM, CI/CD pipelines, monitor logs or service resource usages.
- Basics knowledge in computer engineering: computer systems, network, security.
- Understand common machine learning concepts: “features,” “metrics,” decision trees, gradient boosting, embedding, neural networks, etc. Underlying rigorous mathematical proofs are not required, but ML Engineer needs to understand what a model does to adjust it.
- Communication and interpersonal skills to work with other scientists/engineers and non-technical business units.
- undefined
- Preferred Qualifications
- Work Experience as ML Engineer, Data Engineer, Fullstack or Backend Software Engineer, Solution/Cloud Architect or related roles.
- Experience with these libraries is a plus: TensorFlow, MLFlow, SynapseML, TensorRT, ONNX, django, react, etc.
- Experience working with cloud, preferably Azure.
- Data privacy, PDPA awareness
- English Proficiency. Most specs and documents are written in English. Seniors also have to communicate with international vendors.
- We're committed to bringing passion and customer focus to the business.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.
