AI Engineer
Developer Keras Docker NLP AWS Tensorflow AI/Artificial Intelligence Machine Learning Data Science GCP Python Pytorch Scikit Learn
Salary
Location
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Job Overview And Responsibility
◦ Design, develop and maintain scalable and resilient AI/ML products, recommendations system and personalization, chatbot, search and forecasting. You are 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. ◦ 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. ◦ Work with large and complex data sets to solve challenging problems using analytical, statistical, and machine learning algorithms. ◦ Identify and measure the success of machine learning product efforts through goal setting and monitoring of key metrics to understand trends. ◦ Gain an understanding of potential opportunities and methods to enhance the solutions, and use your insights and recommendations to test and drive initiatives forward. ◦ Develop and conduct best practices in the AI team. ◦ Partner with product, engineering, analytics, business, and cross-functional teams to inform, influence, support, and execute AI initiatives. ◦ Responsible for maintaining the health of the uptime SLA of the service. ◦ Provide support in coaching and mentoring the more junior team members.
Required Skills and Experience
◦ A Bachelor or Master in a quantitative field (Computer Science, Engineering, etc). ◦ Experience of 3-9 years in AI, Machine Learning, or Data Science roles. ◦ Strong technical hands-on experience in Python. ◦ Solid knowledge of Machine Learning fundamental 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. ◦ Extensive practical knowledge of Machine Learning algorithms libraries such as Tensorflow, Pytorch, Keras, Scikit-Learn and Pandas. ◦ Hands-on experience in three or more of the following AI topics: NLP, recommendation systems, predictive analytics, computer vision, search. ◦ Proficient experience in git and building CI/CD pipelines. ◦ Experience in operating Docker images within a microservices architecture. ◦ Proficiency in working with either GCP or AWS cloud platforms is required. ◦ Experience in MLOps platform e.g. MLflow, or Kubeflow. ◦ Nice-to-have: practical experience working with GenAI/LLM. ◦ Have a growth mindset, self-driven, high motivation & curiosity to learn. ◦ Strong analytical skills and proven experience working with complex & large data. ◦ 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. ◦ Proven track record of operating independently, stakeholder management, demonstrating creativity, and delivering results. ◦ A self-driven individual and a team player with excellent communication skills.
Why Candidate should apply this position
◦ Social insurance, medical insurance & unemployment insurance according to Vietnam Labor Law ◦ Working in a professional, friendly, well-equipped environment both with foreigners and Vietnamese. ◦ Extensive on job training, you will always have the chance to work with new emerging technologies ◦ Offer free food and drink everyday ◦ Attractive salary and annual salary review ◦ Company Party, Birthday Party, Annual travel ◦ Playing sports: Football, Badminton ◦ 13th-month salary and Bonus based on performance. ◦ 12-day annual leave per year ◦ MacBook or iMac for work ◦ Playing games: PlayStation, Uno, Darts, Avalon, Bang, Werewolf, Dixit Odyssey
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