Required Skills
AI/ML Development: Understanding of artificial intelligence and machine learning frameworks.
Generative AI & LLM Pipelines: Building and deploying solutions for text generation, automation, intelligent search, RAG systems.
Cloud AI Platforms: Using Azure AI, Vertex AI, AWS SageMaker for model training and deployment.
Automation & Workflow Optimization: Automating university processes and system integration.
Git Version Control: Codebase management, collaboration, version tracking.
API Integration: Third-party API and service integration expertise.
Azure DevOps: Project management and deployment pipeline experience.
Project & Deadline Management: Strong ability to manage project timelines effectively, prioritize tasks, and deliver high-quality code.
Complex Database Queries: Query development and optimization proficiency.
Dashboards & Reports: Generating insightful reports and stakeholder dashboards.
Communication & Collaboration: Cross-functional team effectiveness with developers, designers, stakeholders.
Leadership & Mentorship: Developer guidance on best practices and emerging technologies
Bachelor's degree in computer science, engineering, AI, data science, or related field.
4-5 years of AI development experience with server management and Git version control.
Expertise in Python, TensorFlow, PyTorch, n8n, LLM platforms, OpenAI, Azure AI, or Google Vertex AI.
Docker/Kubernetes deployment experience.
API integration knowledge (RESTful and SOAP).
Azure DevOps proficiency for CI/CD pipelines.
High commitments in deadline management and prioritization in a fast-paced environment.
Database design and query optimization skills.
Reporting tools and dashboard experience.
Strong communication and cross-functional collaboration abilities.
Leadership and junior developer mentoring experience.
Strong attention to detail and a commitment to delivering high-quality code.
Preferred Qualifications
Master's or bachelor's degree in computer science/engineering.
Certifications in AI, cloud platforms, Laravel, Azure, or Git.
Docker/Kubernetes containerization experience.
Machine learning algorithm knowledge.
AI-driven project experience.
Open-source contributions or developer community participation.
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