Hello, We are hiring for "Senior Python Backend Developer+AI&ML (Exp)" for Hyderabad location. Job Title: Senior Python Backend Developer+AI&ML (Exp) Experience: 512 Years Employment Type: Full-Time Location: Hyderabad Work Mode: 5 days Work From Office Notice Period : Immediate joiners(notice period served or serving candidate) NOTE: We are looking for Immediate joiners(notice period served or serving candidate) Apply only If you are Immediate joiners(notice period served or serving candidate Apply only if you are having 5+Years of relevant experience as per the JD. Apply only if you are having hands on experience into Python Backend development and alos experience into AI & ML in the current project. Job Summary We are looking for an experienced Python Developer with 5+ years of software development experience and strong hands-on expertise in Artificial Intelligence (AI) and Machine Learning (ML). The ideal candidate should have experience developing scalable Python applications, implementing machine learning algorithms, building predictive models, and integrating AI/ML solutions into production systems. The candidate will collaborate with data scientists, software engineers, and business stakeholders to design, develop, deploy, and maintain intelligent applications that solve real-world business problems. Roles and Responsibilities Design, develop, test, and maintain scalable applications using Python. Develop and implement machine learning models for classification, regression, clustering, forecasting, and prediction. Apply AI/ML algorithms to solve business problems and improve application performance. Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch. Perform data preprocessing, feature engineering, exploratory data analysis, and model evaluation. Build RESTful APIs using FastAPI, Flask, or Django to integrate AI/ML models with enterprise applications. Develop model training, validation, testing, and inference pipelines. Optimize model performance using suitable evaluation metrics, hyperparameter tuning, and cross-validation. Deploy machine learning models into production environments and monitor their performance. Implement automated testing, logging, error handling, and debugging for Python applications. Work with SQL and NoSQL databases to store, retrieve, and process application and model data. Collaborate with data engineers, data scientists, DevOps teams, and business stakeholders. Use Git and CI/CD pipelines to maintain source code and automate testing and deployment. Ensure application scalability, reliability, security, maintainability, and code quality. Stay updated with emerging AI/ML technologies and recommend suitable improvements. Mandatory Technical Skills 5+ years of professional experience in Python development. Strong proficiency in Python programming, OOP concepts, data structures, and algorithms. Hands-on experience implementing machine learning algorithms and workflows. Experience with Scikit-learn and at least one deep learning framework, such as TensorFlow or PyTorch. Strong knowledge of NumPy, Pandas, and data preprocessing techniques. Experience with model training, validation, evaluation, and performance optimization. Experience developing REST APIs using FastAPI, Flask, or Django. Proficiency in SQL and database integration. Experience with Git, unit testing, debugging, and code review. Understanding of model deployment, monitoring, and production support. Preferred Skills Experience with Generative AI, Large Language Models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG). Familiarity with vector databases and embedding models. Knowledge of cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform. Experience with Docker, Kubernetes, and CI/CD pipelines. Knowledge of MLflow, model versioning, experiment tracking, or comparable MLOps tools. Familiarity with data pipelines, distributed computing, and big data technologies. Experience integrating AI/ML models into enterprise applications. Education Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, or a related field, or equivalent practical experience.