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. Collaborating with Data Scientists to breakdown potential predictive and prescriptive product ideas into ML problems and research the potential approaches.

3. Helping Data Scientist to perform statistical analysis and data collection/ data processing to prepare clean and relevant data sets that are ready for training process.

4. Collaborating with Data Scientist in feature engineering and model training process.

5. Supporting Data Scientist to deploy data model and data pipelines for feature engineering.

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

7. Working with Data Engineer and Software Engineer on the integration of ML model into our platform/ products.

8. Working with Data Engineer to build monitoring services for ML models and optimize the deployment process.

9. Working with Data Engineer to implement the model versioning framework and automatic retraining.

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 as Data Engineer, or Research Engineer, or Software Engineer.

3. Highly skilled in Python, especially in Python data stacks (Pandas, Numpy...).

4. Working knowledge with at least two of: Spark, MapReduce, HDFS, Mahout, Kafka is a plus.

5. Great experience with NoSQL and SQL databases, such as Postgres, MongoDB.

6. Experience with ETL techniques and frameworks: Airflow or Superset…

7. Experience with common data science toolkits, such as Python, R, Spark.

8. Experience with backend web development (Flask, Django).

9. Experience to work with unstructured data, Natural Language Processing or Computer Vision projects.

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.

* Why You love working here:

- Dynamic working environment, friendly, promotion opportunities.

- KPI bonus.

- Annual salary review

- Performance Bonus

- Birthday Party monthly

- Teambuilding

- Gifts for Wedding/New born

- CV
- Relevant Qualification