Proficiency in Python (NumPy, Pandas, FastAPI/Flask, etc.)
Understanding of LLMs (e.g., OpenAI GPT, Anthropic Claude, Llama, Mistral, Qwen)
Experience or academic exposure to LangChain, LlamaIndex, or Hugging Face frameworks
Knowledge of RESTful APIs, JSON, and OAuth/token-based integrations
Familiarity with vector databases (e.g., Pinecone, FAISS, ChromaDB)
Basic understanding of prompt engineering, RAG, and embedding models
Exposure to Git, Docker, and cloud platforms (AWS, Azure, or GCP) is a plus
Robust problem-solving, logical reasoning, and debugging skills

Nice-to-Have Skills
Exposure to agentic AI architectures (e.g., AutoGen, CrewAI, LangGraph)
Basic understanding of machine learning pipelines and data preprocessing
Awareness of AI governance, ethics, and data privacy principles
Knowledge of front-end integration for AI apps (Streamlit, Gradio, React-based UIs)
Hands-on experience with SQL/NoSQL databases

Qualifications
Bachelors or master’s degree in computer science, AI/ML, Data Science, or related field. Other

streams are ok if you have done specialized courses.
Internship or academic project in AI / NLP / LLM development preferred

📌 Ai Ml Engineer Junior & Senior Hyderabad @f Must
🏢 Techouts
📍 Hyderabad