Artificial Intelligence Engineer

Position: AI/ML Engineer

Location:

Employment Type:

Start Date:

About the Role

Youll work on building robust, privacy-conscious AI pipelines that process behavioral text, emotional audio cues, and short caregiver-submitted video clips to extract insights and power smart recommendations across web and mobile platforms.

Key Responsibilities

• Design and implement machine learning pipelines for:
• Text sentiment and intent detection (NLP)
• ️ Audio tone and emotion classification
• Video-based behavior detection using pose estimation (MediaPipe/TF)
• Work with FastAPI to expose models as microservices
• Fine-tune pre-trained models (e.g., BERT, Whisper, MediaPipe, YAMNet)
• Build feedback loops for therapist overrides to improve model accuracy
• Collaborate with frontend/backend developers to ensure real-time AI integration
• Maintain model versioning, rollback, and latency-optimized endpoints
• Document experiments and model decisions with clear metrics
• Ensure ethical and bias-mitigated implementation of AI features

️ Tech Stack You'll Use

• Languages:

   Python (must), TypeScript (bonus)

• Libraries/Frameworks:

   scikit-learn, HuggingFace Transformers, TensorFlow, MediaPipe, PyTorch

• Audio/Video:

   Whisper, OpenSMILE, YAMNet, ffmpeg, OpenCV

• NLP:

   BERT, DistilBERT, Sentence-BERT, spaCy

• API:

   FastAPI, Flask

• Infra:

   Docker, AWS Lambda/GCP Cloud Run (basic familiarity)

• Tools:

   GitHub, Postman, Jupyter, Weights & Biases (optional)

Requirements

• Bachelor's/Masters degree in Computer Science, Data Science, or equivalent
• Strong practical experience with ML model training, evaluation, and deployment
• Experience with real-world AI in NLP, speech/audio, or vision domains
• Understanding of privacy & compliance implications in healthcare AI (HIPAA/GDPR is a plus)
• Ability to write clean, testable, and documented Python code
• Strong communication skills and comfort working with cross-functional teams

Good to Have

• Experience with emotion detection, ASR, and behavioral AI
• Prior experience in healthcare, therapy-tech, or ed-tech products
• Experience using MediaPipe + TensorFlow Lite for mobile AI
• Experience with active learning or human-in-the-loop systems

Reach out at Careers@corazor.com