ML AI Developer

Experience with LLM integration pipelines (OpenAI, Vertex AI, Hugging Face models) Hands on experience in working with voice agents, TTS, STT, caching mechanisms, and ElevenLabs voice technology Strong understanding of vector databases like Qdrant or Milvus Hands-on experience with Langchain, LlamaIndex, or agent frameworks (e.g., AutoGen, CrewAI) Knowledge of FastAPI, Celery, and orchestration of ML/AI services Familiarity with cloud deployment on GCP, AWS, or Azure Ability to build and fine-tune matching, ranking, or retrieval-based models Developing agentic workflows for automation Implementing NLP pipelines for parsing, summarizing, and communication (e.g., email bots, script generators) Comfortable working with graph-based data representation and integrating with frontend Experience in multi-agent collaboration frameworks like Google Agent2Agent Practical experience in data scraping and enrichment for ML training datasets Understanding of compliance in AI applications