資深 AI 演算法工程師｜Sr. AI Algorithm Engineer

About the Role

We’re looking for a Senior AI Algorithm Engineer with a strong background in image processing and vision-language AI. You will lead the design and optimization of cutting-edge computer vision and inference algorithms, with applications spanning color analysis, image stitching, and multimodal understanding. This role requires hands-on experience in deep learning, cloud deployment, and production-level AI integration. You’ll also work with frameworks such as NVIDIA NeMo and deploy AI services using NIM to cloud platforms like GCP and AWS, with Kubernetes for orchestration.

What You’ll Do

• Design and implement deep learning models for image processing, object detection, and anomaly detection

• Develop models for color recognition, color classification, and image-based feature analysis

• Fine-tune or integrate Large Language Models (LLMs) for vision-language tasks such as captioning, semantic search, and classification

• Optimize models for accuracy, inference speed, and resource efficiency

• Deploy and scale model services on GCP / AWS using Kubernetes (K8s)

• Utilize NVIDIA NeMo to train and deploy LLMs or VLMs, and package models into lightweight Docker containers served via NIM architecture

• Collaborate closely with product, frontend, and backend teams to integrate AI features into real-world applications

What You Bring

• 4+ years of hands-on experience in AI, computer vision, or image processing
• Proficiency in Python and libraries like OpenCV, NumPy, TensorFlow or PyTorch
• Familiarity with image preprocessing, feature extraction, segmentation, and stitching techniques
• Experience working with LLM frameworks (e.g., Hugging Face Transformers, LLaMA)
• Strong foundation in color analysis techniques (e.g., color space transformation, histogram analysis, color invariance)
• Practical experience deploying models to cloud environments (GCP / AWS)
• Skilled in Docker and packaging AI services for scalable deployment
• Self-driven, curious, and comfortable experimenting with new AI techniques

Bonus Points (Preferred)

• Experience with NVIDIA Triton Inference Server or multi-model serving
• Knowledge of MLOps workflows and automation (e.g., CI/CD pipelines, testing, monitoring)
• Hands-on use of NVIDIA NeMo and deployment via NIM
• Familiarity with Prompt Engineering, RAG, or LoRA fine-tuning
• Exposure to observability tools like Prometheus and Grafana
• Understanding of GitOps and Infrastructure as Code (e.g., Terraform)
• Kubernetes orchestration expertise (e.g., Helm charts, autoscaling, service deployment)

You Might Be a Good Fit If You:

• Enjoy solving complex technical problems and driving innovation
• Care deeply about code quality, maintainability, and scalable architecture
• Thrive in cross-functional teams and can communicate technical concepts clearly
• Value autonomy, initiative, and continuous learning

Stage 1: Technical Interview with AI Lead (approx. 60 mins)

Stage 2: Final Interview with CEO (approx. 60 mins)

Compensation is negotiable and will be determined based on experience and qualifications.