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Popular ML/CV role in Bangalore with broad deep-learning requirements and mid-level experience increases competition.
Core ML and deep-learning skills transfer across industries, but geospatial and aerial imagery experience adds domain specificity.
Explicit 2–4 year requirement plus mandatory deep-learning, Python, and CV experience creates strict shortlisting filters.
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.
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.
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.