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Machine Learning Engineer

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average?

If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.  webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA. 

Key Responsibilities:

  • Lead the development of innovative AI tools.
  • Leverage existing AI models and frameworks, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to address complex business challenges.
  • Collaborate with cross-functional teams to gather requirements and translate them into effective AI solutions.
  • Fine-tune and optimize AI models for specific applications, ensuring high performance and accuracy.
  • Experiment with various AI models, libraries, and techniques to identify the best solutions for specific problems.
  • Develop custom AI solutions when necessary, utilizing machine learning, deep learning, natural language processing, and computer vision techniques.
  • Integrate AI solutions seamlessly into existing systems and workflows, working closely with data scientists and software engineers.
  • Document and communicate technical designs, processes, and best practices to ensure clarity and knowledge sharing.

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • Strong programming skills in languages such as Python, Java, or C++.
  • In-depth knowledge of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and AI technologies.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Proficiency in software development best practices, version control systems, and agile methodologies.
  • Excellent problem-solving skills with the ability to think critically and analytically.
  • Strong communication skills and the ability to collaborate effectively with cross-functional teams.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).

Average salary estimate

$95000 / YEARLY (est.)
min
max
$70000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Engineer, Supertech Group

Are you ready to take your career to new heights as a Machine Learning Engineer at webook.com? This isn’t just another job; it’s an opportunity to love what you do, make a real difference, and transform lives every day! At webook.com, Saudi Arabia’s leading event ticketing and experience booking platform, we're looking for someone who’s eager to join a dynamic team that thrives on disrupting the dull and embracing innovation. With more than 2 billion in sales and partnerships with the biggest mega events in the Kingdom, we are committed to pushing the boundaries of technology. In this role, you'll lead the development of cutting-edge AI tools, using the latest frameworks like Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). You’ll have the chance to collaborate with a diverse team, gathering requirements and turning them into effective AI solutions that tackle real business challenges. Plus, you'll refine and optimize models to enhance performance and accuracy while exploring various AI techniques to find the best fit for specific issues. Whether you're developing custom AI solutions utilizing deep learning or integrating seamlessly into existing workflows, your work will be crucial. If you have a Bachelor’s in Computer Science or related field and possess strong programming skills in Python, Java, or C++, you might just be the perfect fit. We can’t wait to see how your innovative thinking can help shape the future of our technology!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Supertech Group
What are the main responsibilities of a Machine Learning Engineer at webook.com?

As a Machine Learning Engineer at webook.com, you will lead the development of innovative AI tools, leveraging existing models and frameworks to solve complex business problems. Your responsibilities include collaborating with cross-functional teams to gather requirements, fine-tuning and optimizing AI models, and integrating AI solutions into current systems.

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What qualifications do I need to apply for the Machine Learning Engineer position at webook.com?

To apply for the Machine Learning Engineer position at webook.com, you should have a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Moreover, strong programming skills in Python, Java, or C++, along with in-depth knowledge of machine learning algorithms and frameworks like TensorFlow and PyTorch, are essential.

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What programming languages and technologies should I know for the Machine Learning Engineer role at webook.com?

For the Machine Learning Engineer role at webook.com, you should be proficient in programming languages such as Python, Java, or C++. Additionally, familiarity with machine learning algorithms, deep learning frameworks like TensorFlow, PyTorch, and experience with cloud platforms such as AWS, Azure, or Google Cloud would greatly benefit you.

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How does webook.com approach AI and machine learning development?

At webook.com, the approach to AI and machine learning revolves around innovation and collaboration. The team passionately develops AI tools using cutting-edge technologies, incorporates best practices in software development, and optimizes models for high performance, ensuring the solutions are tailored to complex business needs.

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What type of projects can I expect to work on as a Machine Learning Engineer at webook.com?

As a Machine Learning Engineer at webook.com, you will work on projects that involve creating advanced AI tools for event ticketing and experience booking solutions. You'll explore various AI techniques, develop custom models, and collaborate with other teams to ensure these AI solutions are seamlessly integrated into existing operations.

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Common Interview Questions for Machine Learning Engineer
Can you describe your experience with machine learning frameworks like TensorFlow or PyTorch?

When answering, highlight specific projects you've worked on using these frameworks, emphasizing your role, the challenges faced, and how you utilized the framework's features to achieve your objectives.

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How do you handle data preprocessing and feature engineering in your projects?

Discuss your typical process for data cleaning, normalization, and transformation. Mention any tools or libraries you use, and emphasize the importance of feature selection in improving model performance.

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What is the most complex machine learning model you've worked on, and what did you learn?

Focus on a specific model that was particularly challenging. Describe the problem it solved, the steps you took to build it, and any lessons learned regarding model tuning and evaluation.

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How do you stay updated with the latest trends and advancements in machine learning?

Share the resources you rely on, such as academic journals, online courses, or conferences. Mention any communities or networks you engage with to exchange knowledge and ideas.

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How would you integrate machine learning solutions into an existing software system?

Outline your approach to collaboration with software engineers, emphasizing the importance of understanding existing architecture and workflows while ensuring seamless integration of new AI features.

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Can you explain a time you had to troubleshoot a machine learning model?

Be specific about the issue you encountered, the diagnostic steps you took, and the solution you implemented to rectify the problem, highlighting your analytical skills.

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How do you measure the success of your machine learning applications?

Discuss the metrics and evaluation techniques you use to assess the performance of models, such as accuracy, precision, recall, or F1 score, and how they relate to business objectives.

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What experience do you have with cloud platforms and their machine learning services?

Provide details concerning the cloud platforms you have worked with, the specific services you utilized, and any projects that benefited from these capabilities.

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Describe your experience with collaboration in a cross-functional team.

Highlight a specific instance where you collaborated with other teams, emphasizing your communication, adaptability, and how you ensured everyone was aligned towards the project goals.

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What techniques do you use to optimize the performance of a machine learning model?

Discuss commonly used methods such as hyperparameter tuning, regularization, or data augmentation. Emphasize how these techniques have improved your model outcomes in past projects.

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Full-time, remote
DATE POSTED
March 26, 2025

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