Data Scientist II
EagleView (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, train, and improve machine learning and deep learning models using aerial imagery and geospatial data.
- Design and conduct experiments to evaluate and enhance model architectures, training strategies, and datasets.
- Collaborate with cross-functional teams to translate business problems into machine learning solutions and contribute to reproducible workflows.
Minimum Requirements
- 2-4 years of hands-on experience in data science, machine learning, computer vision, or related fields.
- Strong programming skills in Python with experience in data science and machine learning libraries; hands-on experience with deep learning frameworks like PyTorch or TensorFlow.
- Understanding of fundamental ML concepts (supervised/self-supervised learning, model evaluation, feature engineering), computer vision techniques (segmentation, depth estimation, object detection), and large dataset handling.
- Work Experience Required: 2-4 years; No explicit mention of degree or location requirements; Notice period: Not explicitly mentioned.
Ideal Candidate Profile
- Experienced in end-to-end machine learning model development specifically involving aerial, satellite, or large-scale imagery datasets.
- Skilled at experimental design, interpreting results, and communicating technical findings clearly to cross-functional teams.
- Familiar with cloud platforms (e.g., AWS), GPU-based model training, version control (Git), and collaborative software development practices.