Graduate AI Engineer
Role overview
As an AI Apprentice, you will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You’ll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation to testing and optimizing AI models.
This is an ideal role for someone looking to start their career in AI or further develop their technical skills in a professional setting.
Responsibilities
- check_circle Assist with data collection, preprocessing, and cleaning tasks.
- check_circle Support the development and training of machine learning models.
- check_circle Collaborate on AI research projects under the guidance of senior AI engineers.
- check_circle Perform exploratory data analysis to identify patterns and trends.
- check_circle Document project milestones, coding progress, and learnings.
- check_circle Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision.
- check_circle Participate in regular team meetings and brainstorming sessions.
- check_circle Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn.
- check_circle Learn about data pipelines, from data ingestion to model deployment.
- check_circle Deepen your understanding of algorithms, AI ethics, and the latest trends in AI.
- check_circle Hands-on experience with real-world AI projects that impact our business and customers.
- check_circle Mentorship and guidance from experienced professionals in the AI field.
Basic qualifications
- Passion for AI/ML: Demonstrated interest in artificial intelligence and machine learning.
- Education: Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field.
- Programming Skills: Basic proficiency in Python and familiarity with machine learning libraries.
- Analytical Thinking: Ability to break down complex problems and communicate solutions.
- Python Experience & Readiness to Learn: Some hands-on experience with Python and a genuine eagerness to deepen that knowledge. Candidates who can demonstrate they have written Python scripts, worked with data using libraries such as Pandas or NumPy, or completed Python-based tutorials are strongly encouraged to apply. No professional experience is required; what matters is curiosity, initiative, and a commitment to growing your Python skills within a supportive team environment.
- Willingness to Learn: Strong desire to learn new technologies and methodologies.
- Teamwork: Ability to collaborate with others and contribute to team success.
Preferred qualifications
- Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch).
- Understanding of data structures, algorithms, and mathematical foundations for AI.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
- Previous internship or project experience in AI/ML.
Benefits
- check_circle Mentorship: One-on-one mentorship with industry experts.
- check_circle Flexible Schedule: Work hours can be adjusted based on your academic schedule.
- check_circle Career Development: Support in developing your portfolio and skills for a future role in AI.
- check_circle Networking Opportunities: Access to professional events and conferences in the AI industry.
- check_circle Submit your resume and a cover letter detailing your interest in AI and why you'd like to join our apprenticeship program.
- check_circle Include any relevant projects or coursework that showcase your skills.
- check_circle Monday to Friday
- check_circle Bachelor’s (preferred)
About the company
At Scrumconnect, we are at the forefront of artificial intelligence and machine learning innovation. Our mission is to leverage cutting-edge AI technologies to solve complex problems and improve everyday life. We are looking for passionate individuals eager to build a career in AI through a hands-on learning experience.