AI Engineer

Bangkok Silicon’s mission is to empower businesses and governments in Thailand and ASEAN by providing expert guidance and innovative AI-driven solutions, accelerating digital transformation and fostering sustainable growth.

Our Strategic Consulting Arm Based in Thailand

We specialize in deep-dive strategic client consulting, collaborating closely with local businesses and industry leaders to navigate complex real-world challenges and deliver truly tangible, measurable results. Our on-the-ground presence ensures that every solution is meticulously crafted for maximum impact within the unique context of the ASEAN market.

Our advanced Technology Innovation Center based in Vietnam

Where strategic insights transform into powerful, future-ready solutions. We are the architects of AI-driven systems and cutting-edge digital tools, specializing in leveraging the most impactful emerging technologies to build robust, scalable, and secure solutions that drive significant business value.

We Empower Organizations

To achieve meaningful digital transformation by building end-to-end solutions. These solutions are grounded in local realities, fueled by innovation, and trusted across Southeast Asia.

ลักษณะงาน

• Model Development & Support

Assist in building and testing machine learning models under senior guidance.

• Data Preparation

Support data collection, cleaning, and preprocessing for training and evaluation.

• AI Feature Engineering

Help develop embeddings, search systems, and classification models.

• Model Evaluation & Deployment

Participate in testing and deploying models in development environments.

• Visualization & Documentation

Create simple dashboards using Streamlit or Python libraries and document findings.

• Team Collaboration

Work closely with cross-functional teams to translate business needs into technical tasks.
 

คุณสมบัติ

• Bachelors degree in Computer Science, Data Science, Engineering, or related field.
• Fresh graduates or a few years of experience in machine learning or AI development.
• Solid understanding of ML fundamentals, Python, and libraries like scikit-learn, pandas, and numpy.
• Familiarity with deep learning concepts and frameworks (PyTorch or TensorFlow).