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Strong brand, mid-level generalist ML role, and metro location increase applicant competition significantly.
Requires specialized ML/AI and computer-vision experience, making cross-industry transfers difficult.
Explicit 5+ years, mandatory deep learning, ML frameworks, MLOps and production deployment skills make filters strict.
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Own programming, design discussions, and delivery of software components/features within a fast-paced Agile environment.
Lead and guide a team of 5-7 developers in planning, execution, and architecture design using Scrum methodologies.
Ensure code quality, performance optimization, and adhere to security development lifecycles while collaborating with cross-functional teams and product leadership.
Bachelor’s degree in Computer Science or STEM field.
Over 5 years of experience in object-oriented programming with Python and Java.
Hands-on experience with REST APIs, SQL databases (PostgreSQL, SQL Server, Oracle), and Spring Framework.
Notice period: Not explicitly mentioned in the JD.
Experienced in designing and implementing end-to-end machine learning solutions including deep learning for computer vision (CNNs, Transformers, segmentation, object detection).
Strong familiarity with ML tools/frameworks (PyTorch, TensorFlow, NumPy, Pandas), MLOps practices, cloud platforms (AWS/GCP/Azure), and containerization (Docker, Kubernetes).
Demonstrated leadership in managing blended teams, technical mentorship, and the ability to influence across organizational boundaries.