AI ML Engineer

Experience: 2-5 years

Commitment: 4 hours/day

Role & Responsibilities

• Integrate AI APIs (OpenAI, Whisper, Speech-to-Text, ElevenLabs, etc.) into the web app.
• Build Python-based scoring modules for essays, speaking, and listening tasks.
• Design and maintain a data pipeline (store student input + AI feedback securely).
• Preprocess and label data for future training of custom ML models.
• Experiment with fine-tuning models (when enough data is collected).
• Collaborate with the Full-Stack Developer to connect APIs with the front-end.
• Optimize costs and response time of AI services.

Required Skills

• Strong in Python (must-have).
• Experience with AI/ML frameworks: PyTorch / TensorFlow / Scikit-learn.
• Familiarity with NLP & Speech Processing (text scoring, speech-to-text, pronunciation evaluation).
• Experience with API integration (OpenAI, Whisper, Hugging Face models).
• Knowledge of data preprocessing, storage, and annotation.
• Bonus: Experience in EdTech / exam scoring systems.

What Were Looking For

• 2-5 years of ML/AI experience.
• Someone who can work part-time independently and deliver results.
• A mix of practical skills (API integration) and research mindset (to improve scoring).
• Startup-friendly attitude: flexible, problem solver, proactive.

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