Be part of our success story!

We are constantly looking for the best talent and no country borders will stop us from working with them.

Aliz already has clients in South-East Asia, but our ambition is to expand our business even more – specifically in Indonesia and Singapore.

Join our team in Singapore!

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Machine Learning Architect (Singapore)

Aliz is building scalable applications, IT infrastructures, Big Data, and Machine Learning solutions as a premier Google partner with offices in Singapore, Budapest, and Munich. Google awarded us their Breakthrough Partner of the Year award in Asia-Pacific in 2020 and we are further expanding our business in Singapore to support a wide range of clients from disruptive unicorns to large and reputable enterprises.

We are looking for a Senior Machine Learning Engineer who can create an amazing experience for our customers as they build and maintain solutions in the Google Cloud.

Are you also passionate about Big Data and the cloud? If yes, then keep reading.

This role will suit you if you…

  • want to apply recent artificial intelligence (AI) advances in domains such as computer vision and language processing.
  • want to work with A+ colleagues, who are also the region’s most experienced GCP developers.
  • have ambitions both to solve customer requirements in a dynamic project environment and contribute to the development of our Machine Learning (ML) product.
  • don’t just absorb knowledge, but also like to share it with others.

You will be responsible for…

  • acting as a trusted advisor to our customers, and thereby shaping their ML strategy.
  • understanding our clients’ needs and translating them into a feasible ML solution design.
  • finding the most promising ML methodology for the desired business outcome.
  • providing technical support in pre-sales.
  • holding technical training sessions for our customers.
  • lead cross functional project teams involving data scientists, data and infrastructure engineers and business stakeholders.
  • participating in Aliz’s own, ML-related product development initiative.
  • holding technical training sessions for our customers.
  • architecting and developing AI solutions on Google Cloud for use cases such as:
    1. Recommendation engines
    2. Demand prediction
    3. Text classification and auto-tagging
    4. Dynamic pricing
    5. A/B testing and personalized promotions
    6. Image processing

You will need…

  • university degree in a technical field or equivalent data science or ML engineering experience.
  • 5+ years of relevant experience in designing and deploying data science projects.
  • a thorough understanding of data science methodology standards as well as the theory around model building and operations.
  • proficiency in writing software with Python in a collaborative environment.
  • solid knowledge of data processing with SQL and with Python libraries (e.g. pandas, Dask etc.)
  • client-facing skills and consulting experience.
  • curiosity and passion to learn new methodologies and technologies.
  • good communication skills in English.

It would be nice if you also had…

  • understanding of software development lifecycles and engineering practices (Data pipelines, API workflows, CI/CD, containerisation, observability and security) – specifically ML Ops principles, techniques and tooling
  • proven knowledge of a deep learning library such as Tensorflow or Pytorch.
  • domain expertise in a certain industry such as retail, insurance, ecommerce.
  • hands-on experience with cloud computing.
  • familiarity with tools and technologies such as Docker, MLFlow, basic Kubernetes concepts and Kubeflow.
  • the ambition to provide mentorship and code reviews.
  • good communication skills in German.

You will have the opportunity to…

  • deliver innovative projects and develop innovative products with cutting-edge technology.
  • own your projects and leverage this autonomy to find creative and innovative ways of solving problems and delivering solutions.
  • work with Google Professional Services.
  • learn as part of your job by capitalizing on our company-level knowledge management and attaining Google technical certifications.
  • maintain a healthy work-life balance by taking advantage of our flexible working hours and home office support.
  • travel to cool places.

Ready to apply?


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