Overview Of The Position
As an AI & Big Data Engineer, you will be responsible for executing end-to-end AI projects. This involves understanding project requirements, selecting the right solutions, collecting and preprocessing data, and ultimately training, testing, and deploying the final model for production use. Based on project needs, you will also be tasked with packaging the application as an API, desktop application, or web application.
Key Responsibilities
- Understand project requirements to choose the right AI solutions.
- Collect and preprocess data for model development.
- Train, test, and deploy final machine learning models for production use.
- Write and manage machine learning pipelines.
- Develop user interfaces for applications using GUI libraries (e.g., Tkinter, PySimpleGUI, Streamlit).
- Package final applications as an API, desktop APP, or WebAPP as required.
Job Requirements
- Good programming skills in Python.
- A strong background in machine learning, particularly in supervised and unsupervised learning.
- Understanding of AI model optimization and hyperparameter fine-tuning.
- Understanding of container technology like Docker.
- Familiarity with libraries such as Pandas, Numpy, Scikit-learn, Matplotlib, Flask, and Django.
- Hands-on GUI implementation experience with Tkinter, PySimpleGUI, Streamlit, or any other library for GUI development.
- Knowledgeable in databases, such as Oracle or MongoDB.
- Possess strong self-learning and problem-solving abilities, as well as a good teamwork spirit.
- Preferred Qualifications (A Plus):
- Experience with ML platforms such as Databricks, SAS Viya, or others.
- Experience in developing APIs or deploying models on servers.
- Experience in data analysis, data engineering, performing ETL, and CI/CD.
- Knowledgeable in NLP, Gen AI, Computer Vision, or Deep Learning.
