Join us and work with Google

Aliz is conquering the world by building big data and machine learning solutions as a certified Google Cloud partner. We have offices in Singapore, Jakarta, Berlin, Qatar, Hungary, and Milan.

We are looking for a Machine Learning Engineer who will support our clients as they begin their journey on the Google Cloud Platform (GCP). Are you also passionate about data and the cloud? If yes, then keep reading.

This role will suit you if 

• you want to work with A+ colleagues, who are also the region's most experienced GCP developers.
• you have ambitions both to solve customer requirements in a dynamic project environment and contribute to the development of our ML products and data pipelines.
• working with different people on different problems is refreshing for you. 
• keeping your knowledge up-to-date is just as important to you as sharing it.

You will be responsible for

• using your expertise to automate and optimize data and CI/CD pipelines and workflows.
• architecting, deploying, scaling, and supporting ML solutions in the cloud.
• transforming ML experiments into production-ready, stable solutions.
• implementing your ideas and creating structured code.
• holding technical training sessions and workshops for our customers.

You will need

• a university degree in a technical field or equivalent data engineering, data science, or ML engineering experience.
• 5+ years of experience in data engineering (using Google BigQuery, Apache Beam, Apache Airflow, etc.)
• 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, PySpark)
• a deep understanding of software development lifecycles and engineering practices (data pipelines, API workflows, CI/CD, containerization, observability, and security) 
• knowledge of ML Ops principles, techniques, and tooling is a plus.
• curiosity and a passion to learn new methodologies and technologies.
• Fluent communication skills in English.

It would be nice if you also had

• a thorough understanding of data science workflows, especially in production-level model deployment, operation, and artifact management aspects.
• familiarity with ML libraries, such as scikit-learn, Tensorflow, or Pytorch.
• client-facing skills and consulting experience.
• hands-on experience with cloud computing.
• experience in building ML pipelines with Kubeflow, Apache Airflow, Apache Beam, Vertex AI, TFX or with Sagemaker Pipelines.

You will enjoy

• using cutting-edge technologies and learning from A+ Big Data and Google Cloud experts.
• career development opportunities with regular feedback and the chance to mentor talented juniors and mediors.
• maintaining a healthy work-life balance with financial initiatives to support physical and mental health and green commuting.
• a collaborative working environment with hybrid work opportunities (1 day from office).
• flexible working time to adapt to when you feel most productive.
• employee counseling opportunity with coaches and contracted psychologists.
• continuous training and learning opportunities with yearly allocated learning hours from working time and dedicated mentorship by experienced colleagues.
• extended paternity leave and enjoying 18 annual leave days per year.
• social activities for everyone (team building events, company breakfasts, Christmas, Halloween, and VR parties, sport events, professional meetups, darts and pinball tournaments, biweekly company-wide knowledge sharing sessions).
• last but not least, a great community. :)

Aliz values: 
We consistently adhere to our 9 Values: Trustworthiness, Professionalism, Curiosity, Drive to Improve, Persistence, Ownership, Authenticity, Focus on Solutions, and Connectedness.
 

Keeping connected
Check out our Indonesia team by visiting our career page (https://aliz.ai/en/landings/career-indonesia/).
Connect with us on social media (https://www.instagram.com/wearealiz).