- 3+ years of hands-on experience in ML/AI, with production deployment experience
- Deep proficiency in Python; experience with C/C++ for performance-critical components is a strong plus
- Expertise with embeddings, vector search, information retrieval, or recommendation systems
- Solid understanding of transformer architectures, attention mechanisms, and modern LLM pipelines
- Experience with PyTorch, TensorFlow, or JAX in production settings
- Robust fundamentals in linear algebra, probability, and algorithm design
- Research, prototype, and productionize cutting-edge vector search and approximate nearest neighbor (ANN) algorithms
- Design and optimize end-to-end embedding pipelines for low-latency, high-throughput inference
- Build evaluation frameworks and automated benchmarking suites for search quality and retrieval accuracy
- Develop retrieval-augmented generation (RAG) integrations and semantic search capabilities




- Collaborate with the core database team to co-design indexing structures optimized for ML workloads
- Partner with customers and developer advocates to translate real-world AI use cases into product features

Join Endee as an ML/AI Engineer to architect and build the intelligence layer of our vector database. You will design embedding pipelines, implement state-of-the-art similarity search algorithms, and develop AI-powered features that serve millions of queries per second. This role sits at the intersection of applied research and production engineering you will ship models that directly impact how developers build AI applications.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 ML/AI Engineer (Bengaluru)
🏢 Endee Labs
📍 Bengaluru