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Mid-level ML role with specialized skills but smaller employer and non-remote posting increases medium competition.
Specialized ML and CV expertise required, but core ML skills remain reasonably transferable across industries.
Explicit 3+ years requirement plus mandatory production deployment and specialized model expertise increases strictness.
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Design, build, and deploy intelligent AI solutions involving Computer Vision, Generative AI, NLP, and Adaptive Learning Systems.
Own the training, fine-tuning, and optimization of deep learning models such as CNNs, Stable Diffusion, and transformers for production use.
Develop systems that adapt and personalize based on user behavior, feedback, or changing data patterns.
Bachelor's or Master's degree in Computer Science, AI, ML, or related field.
Minimum 3 years of hands-on AI/ML development and production deployment experience.
Proven experience deploying at least one real-world AI product.
Proficiency with CNNs, computer vision techniques, model fine-tuning, and frameworks like TensorFlow, PyTorch, OpenCV, Keras.
Experienced in developing adaptive learning and personalization AI algorithms in production environments.
Comfortable working with large datasets and proficient in Python programming.
Strong expertise with transformer architectures, Stable Diffusion models, and practical model fine-tuning for generative AI tasks.