Python Developer With AIML and Data Science

Job Description You will be responsible for designing, developing, and deploying scalable backend services using Python. Additionally, you will be tasked with building and maintaining RESTful APIs using frameworks such as FastAPI, Flask, or Django REST Framework. Your role will involve developing and integrating AI/ML models into production systems and collaborating with data scientists, DevOps, and product teams to deliver end-to-end solutions. It will be essential for you to ensure code quality through unit testing, CI/CD pipelines, and Agile practices. Monitoring and troubleshooting production issues and performance bottlenecks, as well as documenting development processes and maintaining technical documentation, will also be part of your key responsibilities. Qualifications: - Advanced proficiency in Python with clean, modular coding practices. - Experience with REST API design, documentation (Swagger/OpenAPI), and testing (Postman). - Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Knowledge of supervised/unsupervised learning, NLP, Transformers, Hugging Face, LangChain (for LLMs), and MLOps pipelines. - Experience with cloud services like Azure (preferred), AWS, or GCP, including Azure Functions, App Services, and Blob Storage. - Proficiency in DevOps tools like GitHub Actions, Azure DevOps, Docker, and Kubernetes. - Familiarity with SQL, PostgreSQL, MongoDB, Pandas, and NumPy. - Experience with version control systems such as Git, GitLab, and Bitbucket. You will be responsible for designing, developing, and deploying scalable backend services using Python. Additionally, you will be tasked with building and maintaining RESTful APIs using frameworks such as FastAPI, Flask, or Django REST Framework. Your role will involve developing and integrating AI/ML models into production systems and collaborating with data scientists, DevOps, and product teams to deliver end-to-end solutions. It will be essential for you to ensure code quality through unit testing, CI/CD pipelines, and Agile practices. Monitoring and troubleshooting production issues and performance bottlenecks, as well as documenting development processes and maintaining technical documentation, will also be part of your key responsibilities. Qualifications: - Advanced proficiency in Python with clean, modular coding practices. - Experience with REST API design, documentation (Swagger/OpenAPI), and testing (Postman). - Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. - Knowledge of supervised/unsupervised learning, NLP, Transformers, Hugging Face, LangChain (for LLMs), and MLOps pipelines. - Experience with cloud services like Azure (preferred), AWS, or GCP, including Azure Functions, App Services, and Blob Storage. - Proficiency in DevOps tools like GitHub Actions, Azure DevOps, Docker, and Kubernetes. - Familiarity with SQL, PostgreSQL, MongoDB, Pandas, and NumPy. - Experience with version control systems such as Git, GitLab, and Bitbucket.