Requirements:

• Proficient in Python and ML/AI frameworks:
• • TensorFlow or PyTorch for neural networks
  • Scikit-learn for classical ML algorithms
• NLP & LLM Tools:
• • Hugging Face Transformers, LangChain, LlamaIndex
• Vector Databases (for memory/knowledge base):
• • Pinecone, Weaviate, FAISS, Chroma
• Experiment tracking:
• • Weights & Biases, MLflow, or TensorBoard
• Frontend/Backend Integration:
• • Frontend: React, Flutter, or plain HTML/CSS/JS
  • Backend: FastAPI, Flask, Node.js
  • Communication: WebSockets, REST APIs

Bonus (Optional but Valuable) Skills:

• Knowledge Graphs & Semantic Search
• Cloud Functions / Serverless Architectures
• Speech Recognition & Synthesis (e.g., Whisper, Google TTS)
• Computer Vision capabilities