Graduate AI Engineer (Entry-Level, No Experience Required)

About the Role

We are looking for a motivated Graduate AI Engineer to join our technology team and begin a career in Artificial Intelligence, Machine Learning, and intelligent technology solutions. This entry-level opportunity is ideal for recent graduates passionate about AI, data science, automation, and innovative application development. No previous professional experience is necessary as comprehensive training and mentorship will be provided.

Key Responsibilities

• Collaborate in the design, testing, and implementation of AI and machine learning systems.
• Prepare and cleanse datasets essential for AI and ML projects.
• Support the training, assessment, and enhancement of machine learning models.
• Perform exploratory data analysis to uncover patterns and insights.
• Assist in developing and integrating AI-based applications and APIs.
• Participate in projects involving Natural Language Processing, computer vision, and predictive analytics.
• Explore and experiment with Generative AI and Large Language Model technologies.
• Evaluate model results and maintain documentation of methodologies and assumptions.
• Work closely with software developers, data scientists, and other technical stakeholders.
• Help in deploying and monitoring AI solutions within development or cloud platforms.
• Research and stay updated on new AI tools, frameworks, and best practices.
• Uphold responsible AI principles, data security, and privacy standards.

Required Qualifications

• Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Mathematics, Statistics, Computer Engineering, or a related field.
• Recent graduates or individuals with up to one year of relevant experience.
• Fundamental knowledge of AI and machine learning concepts.
• Strong programming basics, with foundational Python skills.
• Understanding of the mathematics and statistics underpinning machine learning techniques.
• Analytical mindset and effective problem-solving capabilities.
• Good communication skills and ability to collaborate within a team.
• Enthusiasm to learn and engage with emerging AI technologies.

Preferred Skills

• Experience or familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn.
• Basic understanding of supervised and unsupervised learning methods.
• Exposure to AI frameworks like TensorFlow or PyTorch is beneficial.
• Introductory knowledge of NLP, computer vision, or generative AI techniques.
• Awareness of Large Language Models (LLMs) and AI-related APIs.
• Basic SQL and database skills.
• Experience with Git for version control.
• Knowledge of cloud platforms like AWS, Microsoft Azure, or Google Cloud is a plus.
• Engagement in academic projects, online AI competitions, or research is advantageous but not mandatory.

Benefits

• Structured training program with expert technical mentorship.
• Hands-on experience on impactful AI and machine learning projects.
• Exposure to cutting-edge fields such as Generative AI, predictive analytics, NLP, and computer vision.
• Interaction with modern AI development tools and cloud computing environments.
• Opportunities for career advancement in AI Engineering, Data Science, MLOps, and related areas.
• Support for continued professional development and learning.

Ideal Candidate Profile

• Recently graduated in Artificial Intelligence or a related technical field.
• Curious and genuinely interested in AI and technological advancements.
• Enjoys tackling complex problems through data analysis and programming.
• Possesses strong analytical abilities and logical thinking skills.
• Self-driven, proactive, and open to experimentation and learning.
• Aims to pursue a long-term career within AI and machine learning domains.

Equal Opportunity Statement

We are committed to equal opportunity employment and encourage applications from candidates of all backgrounds. Our workplace strives to be inclusive, offering equal chances for growth and success to all team members.