Python Backend Developer

Role Overview: As a Python Backend Engineer at our company, you will be responsible for developing and maintaining scalable backend systems using Python, specifically FastAPI or Django. Additionally, you will deploy and manage ML models and LLMs in production, develop APIs for ML/LLM inference, and implement model versioning, CI/CD, and monitoring for production use. Collaboration with AI teams to integrate models into applications will also be a key aspect of your role. Key Responsibilities: - Build and maintain scalable backend systems using Python, FastAPI, or Django - Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production - Develop APIs for ML/LLM inference and support RAG pipelines - Implement model versioning, CI/CD, and monitoring for production use - Collaborate with AI teams to integrate models into applications Qualifications Required: - Strong Python backend development skills, particularly with FastAPI/Django - Experience with ML libraries such as scikit-learn, OpenCV, NumPy, and Pandas - Proficiency in MLOps tools including MLflow, DVC, Airflow, Docker, and Kubernetes - Familiarity with LLMOps tools such as LangChain, LlamaIndex, RAG pipelines, FAISS, and Pinecone - Integration experience with OpenAI, Hugging Face, or other LLM APIs - Knowledge of CI/CD tools like GitHub Actions and Jenkins (Note: No additional details about the company were provided in the job description) Role Overview: As a Python Backend Engineer at our company, you will be responsible for developing and maintaining scalable backend systems using Python, specifically FastAPI or Django. Additionally, you will deploy and manage ML models and LLMs in production, develop APIs for ML/LLM inference, and implement model versioning, CI/CD, and monitoring for production use. Collaboration with AI teams to integrate models into applications will also be a key aspect of your role. Key Responsibilities: - Build and maintain scalable backend systems using Python, FastAPI, or Django - Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production - Develop APIs for ML/LLM inference and support RAG pipelines - Implement model versioning, CI/CD, and monitoring for production use - Collaborate with AI teams to integrate models into applications Qualifications Required: - Strong Python backend development skills, particularly with FastAPI/Django - Experience with ML libraries such as scikit-learn, OpenCV, NumPy, and Pandas - Proficiency in MLOps tools including MLflow, DVC, Airflow, Docker, and Kubernetes - Familiarity with LLMOps tools such as LangChain, LlamaIndex, RAG pipelines, FAISS, and Pinecone - Integration experience with OpenAI, Hugging Face, or other LLM APIs - Knowledge of CI/CD tools like GitHub Actions and Jenkins (Note: No additional details about the company were provided in the job description)