AI Developer - Python Technologies

Description : About the Role :

We are seeking an experienced Python AI Developer who is passionate about building intelligent, scalable, and high-performance applications.

The ideal candidate will have a strong background in Python development, AI / ML integration, and cloud-based application design.

This role involves end-to-end ownership of solution design and development from architecting and optimizing data-driven systems to deploying and maintaining AI-powered products that enhance user experience and business performance.

You will collaborate closely with data scientists, DevOps engineers, and product managers to deliver cutting-edge, production-grade AI solutions.

Key Responsibilities :

• Design, develop, and maintain robust, scalable, and high-performance web applications using Python and modern frameworks such as Django, Flask, or FastAPI.
• Build RESTful APIs and microservices to enable communication between backend services and client-facing applications.
• Integrate machine learning models and AI components into production-ready systems.
• Write clean, modular, and efficient code adhering to industry best practices and coding standards.
• Collaborate with data scientists to deploy, optimize, and scale machine learning and AI models in production environments.
• Implement data preprocessing, feature engineering, and model inference pipelines.
• Work with large datasets using libraries such as Pandas, NumPy, and Scikit-learn.
• Apply AI techniques such as natural language processing (NLP), computer vision, or recommendation systems when required.
• Design and manage both relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases.
• Implement Object-Relational Mapping (ORM) tools like SQLAlchemy or Django ORM for efficient database interaction.
• Develop and maintain secure APIs and handle authentication, data validation, and access control.
• Deploy and manage applications on AWS, GCP, or Azure cloud environments.
• Work with containerization technologies such as Docker and Kubernetes to streamline deployments and scalability.
• Implement CI / CD pipelines for automated testing, integration, and deployment.
• Develop unit tests and integration tests using frameworks like PyTest or Unittest to ensure code reliability and performance.
• Profile and optimize application performance to minimize latency and resource utilization.
• Maintain comprehensive technical documentation, including architecture diagrams, design notes, and deployment guides.
• Collaborate cross-functionally with data scientists, product owners, and UI / UX teams to align technology solutions with business goals.
• Stay current with emerging AI, ML, and Python ecosystem trends, evaluating their applicability to ongoing and future projects.
• Mentor junior developers and contribute to internal knowledge-sharing initiatives.

Required Skills & Expertise :

(ref : hirist.tech)