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Popular AI/ML role with broad technical requirements but non-metro, mid-tier employer reduces density.
Requires ML/NLP/CV expertise so candidates need specific technical background, though skills transfer across industries moderately well.
Explicit 1–2 years requirement plus mandatory hands-on model development and deployment creates moderate screening rigor.
Develop and implement advanced NLP, Computer Vision, and Speech AI techniques to enhance platform capabilities.
Collaborate with AI researchers to create innovative AI solutions for educational impact at scale.
Lead and mentor team members in AI experiments and support research in deep learning and machine learning.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
1-2 years of industry experience in machine learning with a strong focus on NLP and Computer Vision.
Hands-on experience in ML model development and deployment.
Strong programming skills in Python, Node.js, or relevant languages; familiarity with ML libraries such as TensorFlow, Keras, PyTorch, scikit-learn.
Experienced working on real-world AI projects related to education or social impact at scale.
Comfortable leading experimentation and mentoring peers in AI techniques and tooling.
Capable of independently developing, training, and fine-tuning machine learning models, particularly in NLP and computer vision domains.