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 YearsMLScientist 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
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