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Open nowFirst seen 36 hours ago

AI Engineer

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong Island, Hong Kong
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Your applicationOpen nowAI EngineerIO TECH SOLUTIONS LIMITED · Hong Kong Island, Hong Kong

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IO TECH SOLUTIONS LIMITED's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 36 hours ago

The posting

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:

  • Design, develop, and optimize machine learning and AI models for production use.
  • Collaborate with data scientists, engineers, and product teams to integrate AI solutions into applications.
  • Preprocess, clean, and analyze structured and unstructured datasets.
  • Develop and maintain scalable pipelines for training, evaluation, and deployment of ML models.
  • Monitor, test, and improve the performance of AI models in production.
  • Stay updated with the latest AI/ML research, frameworks, and best practices.
  • Ensure AI systems meet ethical, responsible AI, and security standards.

Qualifications:

  • Bachelors or Masters degree in Computer Science, Data Science, Artificial Intelligence, or related field (PhD is a plus).
  • Proven experience in machine learning, deep learning, or natural language processing.
  • Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn, Hugging Face, etc.).
  • Solid understanding of algorithms, data structures, probability, and statistics.
  • Experience with data handling, feature engineering, and model evaluation.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.
  • Knowledge of APIs, microservices, and deployment practices.

Nice-to-Have Skills:

  • Experience with large language models (LLMs), generative AI, or reinforcement learning.
  • Familiarity with vector databases and semantic search.
  • Understanding of distributed computing (Spark, Ray, Dask).
  • Knowledge of CI/CD pipelines for ML (MLflow, Kubeflow, Vertex AI).
  • Background in computer vision, NLP, or recommendation systems.
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What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against IO TECH SOLUTIONS LIMITED's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on IO TECH SOLUTIONS LIMITED's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    IO TECH SOLUTIONS LIMITED's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

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