ML Engineer

Job description

Position: ML Engineer

Responsibilities:

1. Model Deployment & Optimization
   - Deploy and maintain vision and language models on cloud platforms (AWS/GCP)
   - Optimize model performance through techniques like quantization and pruning
   - Implement and deploy various types of models including computer vision and LLM-vision models
   - Design and maintain CI/CD pipelines for model deployment
   - Ensure robust model serving in production environments
2. MLOps & Monitoring
   - Set up comprehensive model monitoring systems
   - Implement data drift detection and monitoring
   - Design and maintain model performance dashboards
   - Establish automated retraining pipelines
   - Monitor and optimize cloud resource usage
3. Collaboration & Development
   - Work closely with Data Scientists to productionize models
   - Collaborate with drone operations teams to understand field requirements
   - Contribute to the improvement of our asset integrity management platform
   - Participate in technical design discussions and architecture planning
   - Document technical processes and maintain knowledge base

Qualifications:

1. Knowledge and Experience
   - 1+ years of experience in Machine Learning Engineering
   - Solid understanding of data drift concepts and solutions
   - Experience with model optimization techniques (quantization, pruning)
   - Knowledge of vision-language models and their deployment
   - Experience with large language models (LLMs) deployment
   - Understanding of computer vision principles and applications
   - Experience working with limited or imbalanced datasets
2. Technical Skills
   - Strong programming skills in Python and related ML frameworks
   - Experience with deep learning frameworks (PyTorch, TensorFlow)
   - Proficiency in cloud platforms (AWS/GCP) and their ML services
   - Knowledge of Docker and container orchestration
   - Experience with ML monitoring tools and practices
   - Understanding of MLOps principles and practices
3. Core Competencies
   - Strong problem-solving and analytical skills
   - Excellent communication abilities in Thai and English
   - Ability to work independently and as part of a team
   - Project management and organizational skills
   - Commitment to maintaining high safety and quality standards
4. Preferred Qualifications
   - Knowledge of edge computing and model optimization for edge devices
   - Experience with real-time video processing
   - Familiarity with industrial inspection use cases
   - Background in computer vision or related field
   - Experience with few-shot learning and transfer learning