Python Backend Engineer (with MLOps & LLMOps Experience)

Job Title : Python Backend Engineer (with MLOps & LLMOps Experience)Experience : 4 to 8 YearsLocation : Gurgaon Sector - 43Employment Type : Full-timeJob Summary :We are looking for an experienced Python Backend Engineer with a strong background in FastAPI, Django, and hands-on exposure to MLOps and LLMOps practices.The ideal candidate will be responsible for building scalable backend solutions, integrating AI/ML models into production environments, and implementing efficient pipelines for machine learning and large language model operations.Mandatory Skills : Python, FastAPI, Django, MLOps, LLMOps, REST API development, Docker, Kubernetes, Cloud (AWS/Azure/GCP), CI/CD.Key Responsibilities :Develop, optimize, and maintain backend services using Python (FastAPI, Django).Design and implement API endpoints for high-performance and secure data exchange.Collaborate with data science teams to deploy ML/LLM models into production using MLOps/LLMOps best practices.Build and manage CI/CD pipelines for ML models and ensure seamless integration with backend systems.Implement model monitoring, versioning, and retraining workflows for machine learning and large language models.Optimize backend performance for scalability and reliability in AI-driven applications.Work with Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP) for deployment and orchestration.Ensure best practices in code quality, testing, and security for all backend and model deployment workflows.Required Skills & Qualifications :4 to 8 years of experience as a Backend Engineer with strong expertise in Python.Proficient in FastAPI and Django frameworks for API and backend development.Hands-on experience with MLOps and LLMOps workflows (model deployment, monitoring, scaling).Familiarity with machine learning model lifecycle and integration into production systems.Strong knowledge of RESTful APIs, microservices architecture, and asynchronous programming.Experience with Docker, Kubernetes, and cloud environments (AWS, Azure, or GCP).Exposure to CI/CD pipelines and DevOps tools.Good understanding of Git, version control, and testing frameworks.Nice to Have :Experience with LangChain, Hugging Face, or similar LLM frameworks.Knowledge of data pipelines, feature engineering, and ML frameworks (TensorFlow, PyTorch, etc.).Understanding of vector databases (Pinecone, Chroma, etc.).Education :Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.