AI Engineer

1. Profiling the data structure/ data format of our platform to identify opportunity for improvements so that it can be more relevant for future ML/ AI applications.

2. Breakdown potential predictive and prescriptive product ideas into ML problems and research the potential approaches.

3. Analyze log data and business data to understand system behavior and statistics.

4. Work as a Data Engineer to build the data pipeline.

5. Work as a data scientist in model training and feature engineering, then work with Software Engineer to deploy the model, and integrate it into the system's product.

6. Building proof of concept or prototype around the ML model to demonstrate the potential of product features.

7. Work with DevOps to build monitoring services for ML models and optimize the deployment process.

8. Work with DevOps to implement an automated retraining and model versioning framework.

1. Bachelor's degree in computer science, data science, mathematics, or a related field.

2. At least two years' experience working with ML/ AI projects include Recommendation System,  Computer Vision, Natural Language Processing, as AI Engineer, Data Scientist, ...

3. Strong knowledge of data structures and algorithms.

4. Proficient in using Python programming language in data processing and analysis. Highly skilled with data stacks, for example: Numpy, pandas...

5. Deep understanding of Machine Learning algorithms, practical experience in applying Machine Learning for personalized problems, analyzing user behavior.

6. Working knowledge with big data framework: Spark, Hadoop, Kafka is a plus.

7. Great experience with NoSQLdatabases such as MongoDB, Redis, Hbase;  SQL Database like SQL, Postgres.

8. Experiece with open-source platforms for scheduling and managing computation and data processing jobs: Airflow.

9. Experience and knowledge of distributed systems is an advantage.

10. Great analytical and problem-solving skills.

11. Good communication and collaboration.

12. A team player who seeks for excellence, always be courageous, works in autonomy but keeps yourself humble

- Dynamic working environment, friendly, promotion opportunities.

- KPI bonus.

- Annual salary review

- Performance Bonus

- Birthday Party monthly

- Teambuilding

- Gifts for Wedding/New born