Job Responsibilities:
1. Design, develop and maintain scalable and resilient AI/ML products, recommendations system and personalization, chatbot, search and forecasting.
2. Responsible for end-to-end machine learning product life cycle, i.e., EDA, experimentation, model development, productionization, evaluation, automation with CI/CD pipeline, and A/B testing.
3. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our machine learning products that serve millions of Lumin users and businesses.
4. Work with large and complex data sets to solve challenging problems using analytical, statistical, and machine learning algorithms.
5. Identify and measure the success of machine learning product efforts through goal setting and monitoring of key metrics to understand trends.
6. Gain an understanding of potential opportunities and methods to enhance the solutions, and use your insights and recommendations to test and drive initiatives forward.
7. Develop and conduct best practices in the AI team.
8. Partner with product, engineering, analytics, business, and cross-functional teams to inform, influence, support, and execute AI initiatives.
9. Responsible for maintaining the health of the uptime SLA of the service.
10. Provide support in coaching and mentoring the more junior team members.
Minimum Qualifications:
1. A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc).
2. Experience of 3-9 years in AI, Machine Learning, or Data Science roles.
3. Strong technical hands-on experience in Python.
4. Solid knowledge of Machine Learning fundamentals, i.e., knowledge of models variant and use cases, end-to-end ML lifecycle process, model development, model selection, hyperparameter optimization, feature engineering, evaluation, etc.
5. Extensive practical knowledge of Machine Learning algorithms libraries such as Tensorflow, Pytorch, Keras, Scikit-Learn, and Pandas.
6. Hands-on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search.
7. Proficient experience in git and building CI/CD pipelines.
8. Experience in operating Docker images within a microservices architecture.
9. Proficiency in working with either GCP or AWS cloud platforms is required.
10. Experience in MLOps platform e.g., MLflow, or Kubeflow.
11. Nice-to-have: practical experience working with GenAI/LLM.
12. Have a growth mindset, self-driven, high motivation & curiosity to learn.
13. Strong analytical skills and proven experience working with complex & large data.
14. Demonstrated ability to successfully deliver end-to-end ML projects, including identifying impactful use cases, estimating effort, conducting EDA, developing solutions and models, evaluating performance, deploying models, and monitoring their performance.
15. Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results.
16. A self-driven individual and a team player with excellent communication skills.
Benefits:
1. Social insurance, medical insurance & unemployment insurance according to Vietnam Labor Law.
2. Working in a professional, friendly, well-equipped environment both with foreigners and Vietnamese.
3. Extensive on-job training, you will always have the chance to work with new emerging technologies.
4. Offer free food and drink every day.
5. Attractive salary and annual salary review.
6. Company Party, Birthday Party, Annual travel.
7. Playing sports: Football, Badminton.
8. 13th-month salary and Bonus based on performance.
9. 12-day annual leave per year.
10. MacBook or iMac for work.
11. Playing games: PlayStation, Uno, Darts, Avalon, Bang, Werewolf, Dixit Odyssey.
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