Senior Python Developer

5.0 - 10.0 years

7.0 - 12.0 Lacs P.A.

Noida

Posted:1 week ago| Platform: Naukri logo

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Skills Required

BackendGITPostgresqlDjangoMySQLVOIPMongoDBSIPPythonSQL

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a highly skilled Senior Python Developer with strong backend development expertise and working knowledge in integrating AI/ML models, especially around LLMs and modern NLP applications . This role requires strong hands-on experience with FastAPI , RESTful services , SQL/NoSQL databases , and practical exposure to AI/ML technologies such as TensorFlow , PyTorch , LangChain , and RAG pipelines . Key Responsibilities: Design, develop, and maintain scalable RESTful APIs using FastAPI/Django/Flask . Integrate backend systems with AI/ML models including LLMs, vector databases , and RAG-based pipelines. Collaborate with Data Scientists and AI Engineers to deploy NLP models into production. Build and manage asynchronous tasks , WebSocket handlers, and background jobs. Optimize and refactor legacy code for performance and maintainability. Work with DevOps to deploy microservices securely using containers (Docker) and CI/CD pipelines. Design database schemas, write performant queries (SQL/ORM), and manage data migrations. Required Skills & Experience: Core Backend Development 5+ years of experience with Python 3.7+ Strong knowledge of FastAPI (preferred), Flask , or Django REST Framework Proficient in developing RESTful APIs , authentication mechanisms (OAuth2, JWT) Experience with SQL (PostgreSQL, MariaDB, MySQL) and ORMs like SQLAlchemy Familiar with NoSQL (MongoDB, Redis) and caching techniques Writing unit/integration tests with Pytest , unittest AI/ML/NLP Experience Hands-on with TensorFlow or PyTorch for model training/inference Experience with Natural Language Processing (NLP) techniques Familiarity with LLMs like OpenAI GPT, Cohere, Mistral, or LLaMA Understanding of RAG (Retrieval Augmented Generation) and tools like LangChain , Haystack Knowledge of vector databases (Pinecone, FAISS, Weaviate) Cloud & DevOps (Good to Have) Experience deploying applications on AWS , Azure , or GCP Docker & Kubernetes knowledge for scalable deployments Familiar with Git , CI/CD pipelines , Nginx , Gunicorn/Uvicorn Bonus Points: Experience with real-time systems (SIP/WebRTC/VoIP) Knowledge of GraphQL , gRPC Background in audio/speech processing , ASR , or transcription APIs

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