Python Developer

As a Python Developer at Poonawalla Fincorp, you will be responsible for developing and maintaining Python applications using FastAPI, Flask, and libraries like NumPy and Torch. You will design schemas using FieldSchema and CollectionSchema in Milvus, integrate Milvus with Python applications for high-performance vector search, and utilize PyMilvus to manage collections, indexes, and perform vector similarity searches. Your role will also involve implementing embedding models such as Deepface and Arcface to convert raw data into vector representations, building and optimizing semantic search, recommendation systems, and image similarity pipelines, and creating and managing vector indexes while applying metadata filtering using scalar fields. Additionally, you will document data schemas, workflows, and APIs with clarity and collaborate with teams to deploy solutions using Docker, Kubernetes, or cloud platforms such as AWS, GCP, or Azure. Your knowledge of Approximate Nearest Neighbor (ANN) algorithms and vector indexing strategies will be crucial in improving search efficiency. Key Responsibilities: - Develop and maintain Python applications using FastAPI, Flask, and libraries like NumPy and Torch. - Design schemas using FieldSchema and CollectionSchema in Milvus. - Integrate Milvus with Python applications for high-performance vector search. - Utilize PyMilvus to manage collections, indexes, and perform vector similarity searches. - Implement embedding models (e.g., Deepface, Arcface) to convert raw data into vector representations. - Build and optimize semantic search, recommendation systems, and image similarity pipelines. - Create and manage vector indexes and apply metadata filtering using scalar fields. - Document data schemas, workflows, and APIs with clarity. - Collaborate with teams to deploy solutions using Docker, Kubernetes, or cloud platforms (AWS, GCP, Azure). - Apply knowledge of Approximate Nearest Neighbor (ANN) algorithms and vector indexing strategies to improve search efficiency. Qualifications Required: - 3-4 years of Python development experience. - Strong proficiency in Python, with experience in FastAPI/Flask, NumPy, and Torch. - Hands-on experience with Milvus DB, PyMilvus, and vector database concepts. - Solid understanding of embedding models and vector-based search techniques. - Familiarity with semantic search, recommendation engines, and image similarity pipelines. - Experience with Docker, Kubernetes, or cloud deployment (AWS, GCP, Azure). - Knowledge of ANN algorithms and indexing strategies. - Excellent documentation and communication skills.,