Analyst

As an AI Software Engineer in KDN’s AI Labs, you'll step into the real-world application of artificial intelligence and become part of a team that's pushing the boundaries of what's possible in professional services. You'll dive straight into supporting the development of cutting-edge AI solutions that solve real-world challenges across service lines. This isn't about watching from the sidelines – you'll work shoulder-to-shoulder with experienced AI engineers and researchers, transforming use cases and ideas into powerful solutions while building your foundation in professional AI development.

AI Model Prototyping:

• Develop and implement PoCs and prototypes for AI and machine learning models.
• Collaborate with data scientists to understand model requirements and translate them into functional prototypes.
• Experiment with different AI algorithms and techniques to solve complex problems.

Full Stack Development:

• Participate in the design, development, and deployment of web applications and services.
• Work on both front-end and back-end development tasks using modern frameworks and technologies.
• Ensure responsiveness and scalability of applications.

Research and Innovation:

• Stay updated with the latest trends and advancements in AI and software development.
• Propose innovative solutions and improvements to existing processes and technologies.
• Document findings, methodologies, and best practices.

Education

• Bachelor’s degree in Engineering/ Technology
• Internship or other hands-on experience in application of AI

Mandatory Skills

• Programming Languages: Proficiency in Python and at least one other language such as JavaScript, Java, or C++.
• AI/ML Knowledge: Basic understanding of machine learning concepts and familiarity with frameworks like TensorFlow or PyTorch.
• Web Development: Experience with front-end technologies (HTML5, CSS3, JavaScript) and frameworks (React, Angular, or Vue.js).
• Back-End Development: Knowledge of server-side languages and frameworks such as Node.js, Django, or Flask.
• Databases: Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB).
• Version Control: Experience with Git and collaborative development workflows.

Preferred Skills

• Attention to detail
• Quick learning ability and adaptability
• Willingness and capability to deliver within tight timelines
• Effectively communicate with stakeholders keeping them updated on the progress
• Flexible to work timings and willingness to work in different projects/technologies
• Good team player

Experience Level

Entry Level