Skyline AI
  • 6 active jobs (view)

  • Published: December 20, 2021
Job Type
Level of education
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
More than 3 years


Skyline AI has recently been acquired by JLL (NYSE: JLL), a leading professional services and investment management firm specializing in real estate. We are now part of a Fortune 500 company, with operations in over 80 countries, a workforce of nearly 100,000 individuals around the world, and annual revenue of almost $20B. Within JLL, we are part of JLL Technologies, a rapidly growing, strategic business group whose mission is to leverage technology to increase the value and liquidity of the world’s buildings.The Skyline AI team has been embedded as-is within JLL, to continue our mission of transforming commercial real estate with data science. We are developing a platform that collects data from hundreds of different sources and uses machine learning to extract insights for making fast and optimal business decisions. We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.Our offices are in Tel-Aviv and we employ a hybrid work from home model.


- Best of both worlds - we are a small site (under 30 people) and we operate as we did as a startup, but now with the power and resources of a global Fortune 500 company
- Experience with rich, diverse data - one of the truly unique aspects of our domain is the tremendous diversity of data we work with, comprising dozens of sources and spanning thousands of data points and data types
- Acceleration - we are just starting our next phase of growth, so whoever joins us now will grow with us
- Impact - we are a small team working to impact a multi-billion dollar business

On a typical day, you will:

- Work on our implementation of Argo Workflows on k8s to orchestrate the processes that collect data into our data lake
- Work on our in-house data processing orchestration system, which enables our data scientists and analysts to spin up their own unique and immutable environment for their work on the data
- Deploy our data efficiently and reliably to the various platforms and databases that consume it
- Develop data collectors that gather data by various means, including data APIs, PDF parsing, and more.
- Serve our ML algorithms as APIs to be used by our various colleagues in the global organization


We are looking for :

- 4+ years developing complex distributed systems in a cloud environment
- 4+ years working with data (as a developer, analyst, data scientist, etc.)
- Ability (and excitement) to research various cloud technologies you are unfamiliar with, and implement them according to our needs
- This is our technological stack (experience in these technologies will be considered an advantage):

- Python and Go as the main development languages
- Data pipeline engines - Argo Workflows on k8s, and prefect.
- AWS and GCP as the cloud providers
- Databases – BigQuery, Redis, elasticsearch, RDS Aurora
- We like serverless and managed services – anything that speeds up our development practice and reduces time spent configuring or managing resources

- Previous experience with data engineering technologies such as Apache Spark, Airflow, Flink, Athena - Strong Advantage
- Open source contributor - Advantage
- B.Sc/M.Sc in math, statistics, industrial engineering, CS or related field - Advantage
- Take your work, and your fun, seriously

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