Location: Bengaluru,Karnataka,India

 Zeitview (formerly DroneBase) is the leading intelligent aerial imaging company for high-value
 infrastructure, providing businesses with actionable, real-time insights through a single-source
 solution to recover revenue and reduce liability risk. Zeitview is the trusted, go-to data
 management platform for worldwide enterprise clients spanning industries such as renewable
 energy, insurance, telecommunications, construction, real estate, and critical infrastructure.
 

Job Description: As an ML (Machine Learning) Scientist, you will help design and develop novel
 AI computer vision models across multiple industry verticals including solar, wind turbines, and
 commercial roofing. These models will be created using various sensor data ranging from RGB (Red,
 Green, Blue), thermal, and geospatial images collected from drones, fixed wing aircrafts, along with
 other image sources. Working collaboratively with product managers and backend engineers will be
 required to ensure the models are performing to the product specifications. The day to day duties of
 the job will include collecting, organizing, and analyzing image and thermal data collected from
 customers, and then programmatically converting the data into formats that are usable by machine
 learning models. The duties will also include programming/developing machine learning models
 using cloud technologies such as Amazon Web Services (AWS) along with assisting in
 programmatic deployments of these models into production. This position will also consist of
 collaborating and presenting models, results, and roadmapping ideas with other members of the
 machine learning team and other cross functional teams. It will also be expected that this role will
 require you to write documentation on how to run, test, and use the various models and other
 programs that you will develop.

Employer’s minimum job requirements:
 ● 2+yearsexperience with building computer vision models in a professional setting
 ● 2+yearsspecialization in deep learning based computer vision models
 ● 2+yearsexperience with Python, Pytorch, and AWS
 ● 2+yearsexperience with preparing dataset for deep learning based computer vision models
 ● 1+yearsexperience working with aerial imagery
 ● 1+yearsexperience working with geospatial data
 ● Experience with Metaflow and Pytorch Lighting
 ● Experience with collaborating with different teams to ensure models meet product
 

specifications
 Minimum Degree: Bachelors
 

Fields of Acceptable Study: Computer Engineering, Electrical Engineering, Statistics, Computer
 Science

 Minimum Required Years of Experience: 2 Years

MLScientist Technical Coding Challenge
 ● Turbine Preflagging Classifier
 ○ 250anomaly images
 ○ 750clean images
 ○ Training code for model
 ○ Evaluation code for model
 ○ Inference code for model
 ○ Unit testing
 ○ Explanation of how to improve model
 ○ Bonuspoints
 ■ Useofmetaflow
 ■ Useofpytorch lightning