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Tier-1 brand, popular Full Stack title, Bengaluru metro, and broad frontend/backend+ML requirements drive high competition.
Fullstack plus computer-vision skills are transferable across industries but favor ML/CV roles, yielding medium sensitivity.
Explicit 0–3 year requirement plus mandatory web, ML, and cloud skills creates moderately strict shortlisting.
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Develop and maintain full-stack web applications interfacing with computer vision and machine learning models.
Integrate, train, fine-tune, evaluate, and deploy computer vision algorithms into production environments.
Adapt across frontend, backend, and ML pipelines based on project sprint priorities.
Graduate or Postgraduate degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or related field.
0 to 3 years of hands-on software development experience including exposure to machine learning workflows.
Proficiency in backend Python frameworks (FastAPI, Flask, or Django) and frontend JavaScript frameworks (React, Vue.js, or Angular).
Basic working knowledge of AWS or GCP cloud platforms and familiarity with RESTful API development.
Versatile developer comfortable switching between frontend, backend, and ML integration tasks in agile sprints.
Experience or understanding of computer vision techniques using tools like OpenCV, PyTorch, or TensorFlow.
Operates well in collaborative, fast-learning environments working with cross-functional teams including ML engineers and UI/UX designers.