Follow software development best practices including version control, testing, documentation, and reproducibility.
Required Skills
Strong proficiency in Python.
Hands-on experience with Computer Vision and Deep Learning.
Expertise in PyTorch, TensorFlow, or Keras.
Experience with OpenCV and image processing techniques.
Strong knowledge of image classification, object detection, image segmentation, transfer learning, and model fine-tuning.
Experience with ML model evaluation and performance optimization.
Knowledge of Git and software development best practices.
Understanding of MLOps concepts and production deployment.
Good-to-Have Skills
Experience with Vision-Language Models (VLMs) and Multimodal AI.
Exposure to Large Language Models (LLMs) and NLP concepts.
Experience with MLflow, Kubeflow, Docker, and Kubernetes.
Cloud platform exposure (AWS, Azure, or GCP).
Experience in healthcare, medical imaging, or similar domain-specific AI applications.
Research publications or contributions to open-source AI projects.
Knowledge of Responsible AI and AI ethics.
Soft Skills
Strong analytical and problem-solving abilities.
Effective communication and presentation skills.
Cross-functional collaboration and stakeholder management.
Research-oriented mindset with attention to detail.
Ability to work in a fast-paced, dynamic environment.
Strong ownership and accountability.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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