At Pegasus AI Corporate, we don’t just follow trends—we build the infrastructure that defines them. We are an innovation-first powerhouse dedicated to crafting advanced AI, data science, and automation solutions. Our mission is to bridge the gap between cutting-edge research and practical, high-scale industrial applications. If you are passionate about turning complex data into "unparalleled success" for global businesses, your journey starts here.

As a Junior AI Engineer, you won't be stuck in a sandbox. You will be a key contributor to our core machine learning pipelines, helping us architect, deploy, and monitor models that solve real-world bottlenecks. This role is designed for a fast learner who thrives at the intersection of Software Engineering and Applied AI.

Your Day-to-Day:

• Model Implementation: Support the development of NLP and Computer Vision models using frameworks like PyTorch or TensorFlow.
• Data Orchestration: Build and maintain robust data pipelines to ensure high-quality training sets.
• Rapid Prototyping: Transition research papers into proof-of-concept (PoC) code to test new automation theories.
• Collaborative Scaling: Work alongside Senior Architects to integrate AI modules into cloud-native environments (Azure/AWS).
• Optimization: Fine-tune neural networks for performance, latency, and accuracy.

• The "Builder" Mentality: You don't wait for instructions; you find solutions.
• Communication: Ability to explain complex technical trade-offs to non-technical stakeholders.
• Remote Discipline: Highly organized and capable of managing deep-work sessions in a distributed team environment.

• Remote-First Culture: Work from wherever you are most productive.
• Mentorship: Direct access to senior engineers and data scientists.
• Impact: Your code will drive operational efficiency for actual enterprise clients.
• Continuous Learning: A dedicated budget for certifications (Azure AI, AWS ML) and AI research conferences.
  

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