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AI Engineer Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, AI, Machine Learning, or a related field.
• Strong programming skills in Python.
• Experience building, training, testing, or deploying machine learning models.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with LLMs, prompt engineering, embeddings, RAG, or AI agent workflows is advantageous.
• Understanding of data preprocessing, model evaluation, and performance optimization.
• Familiarity with APIs, cloud platforms, databases, and version control such as Git.
• Ability to work with structured and unstructured data.
• Strong problem-solving, analytical, and debugging skills.
• Ability to explain technical concepts clearly to technical and non-technical stakeholders.
• Experience deploying AI solutions into production environments is advantageous.
• Knowledge of responsible AI, data privacy, and model bias considerations is beneficial.

Preferred Skills

• Experience with OpenAI, LangChain, Hugging Face, vector databases, or similar AI tools.
• Experience with MLOps, Docker, CI/CD, and cloud services.
• Background in NLP, computer vision, recommendation systems, or predictive analytics.
• Strong software engineering practices and ability to write clean, maintainable code.

8:40 AM

Name

The Admin Officer will provide administrative and operational support for the National Youth Development Program. Key responsibilities include:

Coordinating recruitment processes and maintaining learner records.

Managing documentation, filing systems, and correspondence related to the program.

Assisting with scheduling, logistics, and communication between learners and program staff.

Ensuring compliance with departmental policies and procedures.

Supporting reporting and data entry to track learner progress and program outcomes.

AI Engineer Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, AI, Machine Learning, or a related field.
• Strong programming skills in Python.
• Experience building, training, testing, or deploying machine learning models.
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.
• Experience with LLMs, prompt engineering, embeddings, RAG, or AI agent workflows is advantageous.
• Understanding of data preprocessing, model evaluation, and performance optimization.
• Familiarity with APIs, cloud platforms, databases, and version control such as Git.
• Ability to work with structured and unstructured data.
• Strong problem-solving, analytical, and debugging skills.
• Ability to explain technical concepts clearly to technical and non-technical stakeholders.
• Experience deploying AI solutions into production environments is advantageous.
• Knowledge of responsible AI, data privacy, and model bias considerations is beneficial.

Preferred Skills

• Experience with OpenAI, LangChain, Hugging Face, vector databases, or similar AI tools.
• Experience with MLOps, Docker, CI/CD, and cloud services.
• Background in NLP, computer vision, recommendation systems, or predictive analytics.
• Strong software engineering practices and ability to write clean, maintainable code.

The QA Engineer will be responsible for ensuring the quality and reliability of solutions developed within the AI Campus Skills Programme. Key duties include designing and executing test plans, identifying and documenting defects, and collaborating closely with developers and analysts to resolve issues. The role requires strong attention to detail, proficiency in manual and automated testing methods, and the ability to work in agile project environments. Candidates should demonstrate problem-solving skills, knowledge of testing tools, and a passion for maintaining high standards in AI-driven applications.

The Business Analyst will play a key role in bridging the gap between business needs and technical solutions within the AI Campus Skills Programme. Responsibilities include gathering and analyzing requirements, documenting processes, and collaborating with stakeholders to ensure successful delivery of programme outcomes. The role involves evaluating data, identifying trends, and providing actionable insights to support decision-making. Candidates should demonstrate strong analytical skills, effective communication abilities, and a keen interest in leveraging AI-driven solutions to improve business processes

ob Role Description: > Role Overview: Lead the integration of Generative AI across the organization to enhance operational efficiency.

Key Skills Needed:

Advanced Prompt Engineering

AI Ethics & Compliance Oversight

Strategic Stakeholder Management

Candidates will be required to pass the 'AI Opportunity Audit' assessment as part of the application process.

Job Description: Software Engineer

Job Role Title:

Software Engineer

Specialization:

Full Stack Developer (Python, Django, FastAPI)

Overview:

We are seeking a skilled Software Engineer to design, develop, and maintain scalable applications using Python, Django, and FastAPI. The ideal candidate will have strong problem-solving skills, experience in building robust APIs, and the ability to work in a collaborative Agile environment. You will play a key role in developing backend systems, integrating databases, and delivering efficient, secure, and high-quality software solutions.

Key Responsibilities:

• Design, build, and maintain backend applications using Python, Django, and FastAPI.
• Develop RESTful and GraphQL APIs for internal and external systems.
• Implement efficient data models and queries using relational and NoSQL databases.
• Write clean, maintainable, and testable code following industry best practices.
• Collaborate with front-end developers, product managers, and other stakeholders to deliver end-to-end solutions.
• Optimize applications for scalability, performance, and security.
• Contribute to CI/CD pipelines, containerization, and deployment processes.
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives.

Main Skills & Sub-Skills

Python

• Core Python programming, data structures, and algorithms.
• OOP, modules, decorators, and error handling.
• Virtual environments, testing (unittest/pytest), and best practices (PEP8).

Django

• Models & ORM, views, templates, and forms.
• Django REST Framework for API development.
• Authentication, permissions, middleware, and signals.
• Deployment with Gunicorn, Nginx, and Docker.

FastAPI

• API design with path/query parameters & Pydantic models.
• Async programming with async/await.
• Authentication and authorization (OAuth2, JWT).
• API documentation with Swagger & ReDoc.
• Deployment using Uvicorn and containerization.

Qualifications & Experience:

• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• Proven experience in Python-based backend development.
• Hands-on experience with Django and FastAPI frameworks.
• Solid understanding of databases (PostgreSQL, MySQL, MongoDB).
• Familiarity with Git, Docker, and CI/CD pipelines.
• Knowledge of cloud platforms (AWS, Azure, or GCP) is an advantage.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Adaptability and eagerness to learn new technologies.
• Ability to work in Agile/Scrum environments.

Performance Evaluation Metrics:

Assessment Score: Theoretical knowledge of Python, Django, and FastAPI.

Course Score: Completion of structured learning modules.

Practical Score: Hands-on coding projects and system implementation.