About this role
Hong Kong Island, Hong Kong
AI Engineer
Job Description:
Overview
We are seeking a highly skilled AI Engineer to design, develop, and deploy machine learning and artificial intelligence solutions. The ideal candidate has a strong background in computer science, mathematics, and data science, with hands-on experience building and deploying AI models that solve real-world problems.
Key Responsibilities
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Design, develop, and optimize machine learning and AI models for production use.
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Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications.
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Preprocess, clean, and analyze structured and unstructured datasets.
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Develop and maintain scalable pipelines for training, evaluation, and deployment of ML models.
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Monitor, test, and improve the performance of AI models in production.
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Stay updated with the latest AI/ML research, frameworks, and best practices.
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Ensure AI systems meet ethical, responsible AI, and security standards.
Qualifications
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Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD is a plus).
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Proven experience in machine learning, deep learning, or natural language processing.
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Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
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Solid understanding of algorithms, data structures, probability, and statistics.
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Experience with data handling, feature engineering, and model evaluation.
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Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.
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Knowledge of APIs, microservices, and deployment practices.
Nice-to-Have Skills:
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Experience with large language models (LLMs), generative AI, or reinforcement learning.
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Familiarity with vector databases and semantic search.
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Understanding of distributed computing (Spark, Ray, Dask).
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Knowledge of CI/CD pipelines for ML (MLflow, Kubeflow, Vertex AI).
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Background in computer vision, NLP, or recommendation systems.
Required Skills
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Computer Vision
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Gcp
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Scikit-Learn
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TensorFlow
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Intelligence
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CI/CD
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Search
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Spark
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Pipelines
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Deep Learning
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Structures
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Data Structures
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Artificial Intelligence
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Azure
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Algorithms
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Data Science
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Microservices
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AWS
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Statistics
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Machine Learning
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Mathematics
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Databases
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Computer Science
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Security
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Research
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Design
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Engineering
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Python
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Science
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Training