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About the role Novos Technology Limited, an innovative technology company based in Hong Kong, is seeking a talented Machine Learning AI Engineer to join our dynamic team. As a Machine Learning AI Engineer, you will be responsible for developing cutting-edge artificial intelligence and machine learning solutions to drive our company's technological advancements. This is a full-time position based in Hong Kong Island, offering the opportunity to work on challenging and rewarding projects that make a real impact. What you'll be doing Design and develop advanced machine learning algorithms and models to tackle complex business problems Implement and optimise machine learning pipelines for large-scale data processing and model training Collaborate with cross-functional teams to understand business requirements and translate them into innovative AI solutions Continuously research and stay up-to-date with the latest advancements in machine learning and artificial intelligence Contribute to the development of our proprietary AI-powered applications and platforms Mentor and guide junior team members to foster a culture of knowledge sharing and innovation What we're looking for Strong background in machine learning, deep learning, and artificial intelligence with a proven track record of delivering successful projects Proficient in Python and experience with popular machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn Familiarity with modern data engineering tools and techniques, including big data frameworks and cloud-based services Excellent problem-solving and analytical skills, with the ability to think critically and creatively Effective communication and collaboration skills to work closely with cross-functional teams A passion for staying up-to-date with the latest trends and advancements in AI and machine learning Prior experience in the embedded system industry or with a focus on applying AI in edge system is highly desirable. Knowledge of git, docker, design pattern, machine learning algorithms and deep learning frameworks (e.g., PyTorch) is preferrable Experience with ONNX technologies is a plus. What we offer At Novos Technology Limited, we believe in fostering a dynamic and supportive work environment that nurtures personal and professional growth. We offer competitive remuneration and opportunities for continuous learning and development. Our goal is to empower our employees to thrive and make a meaningful impact within our organisation. About us Novos Technology Limited is a leading technology company specialising in the development of innovative AI-powered solutions. With a strong focus on research and development, we are at the forefront of transforming industries through the power of artificial intelligence. Our mission is to revolutionise the way businesses operate by leveraging cutting-edge machine learning and deep learning technologies. If you're excited to be part of our mission and contribute your expertise as a Machine Learning AI Engineer, we encourage you to apply now.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.