AI Full stack Developer

This this an opportunity with Infosys Limited

Infosys Power Programmers are a select group of highly skilled software engineers within Infosys who are passionate about technology and problem-solving. They are known for their expertise in various programming languages, data structures, and algorithms, and their ability to tackle complex technical challenges.

Benefits of Being an Infosys Power Programmer :

• Challenging Projects : Work on cutting-edge projects and solve complex technical problems.
• Career Growth : Advance your career quickly and take on leadership roles.
• Mentorship : Learn from experienced mentors and industry experts.
• Global Opportunities : Work with clients from around the world and gain international experience.
• Competitive Compensation : Receive attractive compensation packages and benefits.
• If you're passionate about technology and want to work on challenging projects with a talented team, becoming an Infosys Power Programmer could be a great career choice.

Job Summary :

We are seeking a visionary AI Full Stack Architect to lead the design, development, and deployment of scalable AI solutions across our organization. This role blends deep technical expertise in AI / ML with full-stack development skills to architect intelligent systems that drive strategic business outcomes.

Key Responsibilities :

1. Design end-to-end AI architectures integrating data pipelines, model training, deployment, and monitoring.

2. Select appropriate AI frameworks, tools, and technologies (e.g., TensorFlow, PyTorch, Hugging Face).

1. Build and maintain scalable web applications and APIs to support AI services.

2. Develop intuitive front-end interfaces for AI-powered tools using modern frameworks (e.g., React, Angular).

1. Collaborate with data scientists to develop and optimize machine learning models.

2. Implement CI / CD pipelines for model deployment and versioning.

1. Architect cloud-native AI solutions using AWS, Azure, or GCP.

2. Ensure systems are secure, scalable, and cost-efficient.

1. Work closely with product managers, engineers, and business stakeholders to align AI initiatives with business goals.

2. Provide technical leadership and mentorship to engineering teams.

1. Monitor AI system performance and continuously improve accuracy, efficiency, and reliability.

2. Conduct A / B testing and model Bachelor's or Master's degree in Computer Science, Data Science, or related field.

Preferred Skills :

(ref : hirist.tech)