AI Application Developer

AI Application Developer role will be part of Digital Commerce Team building AI-powered applications and solutions. This role will Analyse, Design, Develop, and deploy AI and Machine Learning models within real-world applications using software development life cycle methodology. This role will collaborate closely with data scientists, engineers, and product managers to create innovative AI-driven products and services.

Responsibilities :

- Design, develop, and deploy AI/ML models into scalable applications.

- Work with deep learning frameworks such as TensorFlow, PyTorch, and Scikit-learn or Keras

- Optimize AI models for performance, scalability, and real-time processing.

- Build and maintain AI-powered web and mobile applications.

- Develop APIs and Microservices to integrate AI models with front-end applications.

- Work with cloud platforms (AWS, Azure, or GCP) to deploy AI applications at scale.

- Preprocess & manage large datasets for AI training & inference.

- Implement data pipelines to streamline AI workflows.

- Ensure AI models are updated and continuously improved based on new data.

- Collaborate with UI/UX designers to enhance user experiences in AI-driven applications.

- Track AI model performance and implement improvements based on feedback.

- Optimize application architecture for speed, efficiency, and cost-effectiveness.

- Address technical challenges such as model drift, bias, and explainability.

Qualification and Experience :

- Minimum 8 years development experience and last 3+ yrs into AI/ML Development

- Hands on experience designing, developing, and deploying AI and machine learning models

- Proven experience in developing and deploying AI-powered applications.

- Proficiency in Python, Java, or JavaScript for AI application development

- Exp in cloud services (AWS, GCP, Azure) for AI model deployment

- Familiarity with DB Tech (SQL, NoSQL, PostgreSQL, MongoDB).

- Understanding of DevOps, CI/CD pipelines, and containerization (Docker, Kubernetes)

- Follow and contribute to Agile/SCRUM activities (e.g. daily stand-ups, retrospectives, iteration planning, estimating/reporting, acceptance criteria definition, etc.)

- Bachelor's and Master's (preferred) in Computer Science with Strong communication skills.