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Graduate AI Engineer

Control RisksJohannesburg, Gauteng, South Africa

13 days ago

Job description

Overview

The Graduate AI Engineer will work with the broader Data Engineering team. They will focus on the use of Microsoft AI platforms mainly Copilot, Copilot Studio, Azure AI Foundry, and Power Platform to build solutions, develop proofs of concept, and contribute to the creation of scalable, enterprise-wide AI solutions. This role is open to graduates with limited work experience coupled with strong academic performance and the knowledge and experience listed below.

What You'll Do

Fast-paced delivery of low-code / no-code POCs (Proof of Concepts) to test the resolution of business problems and address them where possible.
Provide first line support for users of Copilot Chat and M365 Copilot.
Processing raw data transformation, feature creation & feature selection.
Implement machine learning, AI models, Agentic AI models and integrate them into existing systems using Copilot Studio, Azure AI Foundry and Power Platform.
Participate in brainstorming sessions to conceptualize AI solutions that address business challenges.
Support in business analysis of business processes impacted by AI and data-driven solutions.
Stay up-to-date with the latest trends and advancements in AI and data analytics.
Participate in workshops, presentations, and demonstrations to showcase AI capabilities and benefits.

Who You Are

Excellent communication, problem-solving and analytical skills with good fluency in English.

Demonstrable willingness and ability to learn new skills.

Demonstrable experience in data analysis, preferably with exposure to AI and machine learning tools.

Proficiency in data analysis tools such as Python, R or SQL.

Familiarity with AI tools and platforms like Copilot, Copilot Studio, Azure AI Foundry, and Power Platform.

Ability to work collaboratively in a global team environment.

Excellent interpersonal skills, possessing the confidence to build relationships with all levels of stakeholder.

Bachelor's degree in Computer Science, Engineering, Data Science, Statistics, or a related field with evidence of high levels of academic performance.

Demonstrable portfolio of projects that show experience and skill.

Certifications in AI, data analysis, or related areas are a plus.

Any Power Platform certification will be an advantage.

Learning – Demonstrates a keen ability to learn and adapt in a rapidly evolving area of technology.

Problem Solving – Owns problems, identifies and works with the right people to solve problems quickly within own remit and wider team(s).

Innovation & Creativity – Reviews and looks for efficiencies in ways of working; constantly seeks innovative ways to improve services we offer to our clients; shows initiative in work, contributing new solutions or new ways of doing things.

Results Oriented – Delivers on personal objectives to deliver to strategic and department plans; focuses on delivery, strives to exceed expectations; shows drive and determination to achieve high standards.

Communication, planning work and influencing – Communicates clearly and concisely using language appropriate to audience; displays sensitivity to develop constructive relationships with others; plans and organises workload of own and others, suggests priorities as necessary.

Benefits

Control Risks SA is committed to employment equity. Preference may be given to appointable applicants from the underrepresented designated groups in terms of the relevant employment equity plans and policies of the company. Control Risks SA retains the right not to make an appointment and to verify all information provided by candidates.

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Security and Investigations

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Graduate Engineer • Johannesburg, Gauteng, South Africa

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