across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine More ❯
across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and Node.js. Vector Databases & Search : Implement embeddings and retrieval mechanisms using Pinecone, Weaviate, FAISS, Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine More ❯
and prototype LLM-powered workflows. THE ROLE: This client are hiring an AI Engineer to: Prototype and build GenAI tools for LLM-driven document reasoning Develop microservices and APIs (FastAPI, Kubernetes) with solid CI/CD practices Work on multimodal datasets: documents, images, structured content Collaborate cross-functionally with product and data teams Influence the direction of emerging AI tools More ❯
