Invigilator – ON-SITE

Job Overview

logoKey Responsibilities:Collaborate with cross-functional teams to conceptualize, design, and implement AI-powered solutions.Develop and maintain end-to-end software applications using Python and other
modern frameworks.Design and implement scalable APIs and backend services for Generative AI applications such as chatbots and data analytics platforms.Build responsive and intuitive front-end interfaces using modern JavaScript
frameworks (React, Angular, or Vue.js).Develop and integrate machine learning models into applications, ensuring performance and scalability.Leverage cloud platforms (Azure, AWS) to deploy AI models, ensuring secure and
efficient integration with on-premises systems.Drive the adoption of DevOps practices, including CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).Ensure code quality and maintainability through
unit testing, code reviews, and adherence to best practices.Troubleshoot and resolve complex technical challenges in real-time AI applications.Stay updated on emerging AI/ML and full-stack development trends to incorporate
innovative solutions.Qualifications:Education: Bachelor’s or master’s degree in computer science, Software Engineering, or a related field.Experience: Minimum 6–8 years of professional experience in full-stack development,
with a focus on Python and AI/ML technologies.Strong expertise in Python frameworks (Django, Flask, Fast API) and front-end frameworks (React, Angular, Vue.js).Hands-on experience with machine learning frameworks and libraries,
such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face.Proficiency in developing and deploying AI/ML models in cloud environments like Azure AI, AWS Sage Maker, or Google AI Platform.Deep understanding of integrating
on-premises systems with cloud-based AI solutions.Experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB).Familiarity with containerization (Docker) and orchestration tools (Kubernetes).Knowledge of CI/CD
pipelines and infrastructure as code tools (Jenkins, Terraform, or Ansible).Strong problem-solving skills and the ability to work in fast-paced, dynamic environments.

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