Exciting Opportunity: Senior AI Engineer (Cloud & Data Engineering) in Gauteng
A leading company, iSanqa Resourcing, is currently seeking a dedicated Senior AI Engineer (Cloud & Data Engineering). This contract position offers a unique opportunity to engage in AI/ML solutions with a significant focus on data and cloud technologies in a hybrid working environment.
Key Responsibilities
- Hands-on delivery of AI/ML solutions in production environments.
- Collaborate with data scientists and engineers to integrate machine learning models into existing architecture.
- Design and implement robust data pipelines in cloud platforms.
- Optimize model performance through advanced data manipulation techniques.
- Participate in code reviews and design discussions to ensure best practices.
- Monitor and analyze AI systems to improve operational efficiency.
Requirements
- Experience: 6-8 years in AI engineering, data science, or cloud engineering roles.
- Technical Skills: Proficiency in Python, TensorFlow, and cloud services (AWS, Azure).
- Education: Relevant degree in Computer Science or a related field.
- Strong understanding of machine learning algorithms and cloud-based solutions.
- Ability to work collaboratively in a hybrid environment.
💰 Salary Insight
Estimated Offer: R800,000 – R1,200,000 per annum.
(Note: Salary figures are based on market estimates and industry standards.)
🔮 3 Common Interview Questions for this Role
- “Can you describe a challenging AI project you worked on and the outcomes achieved?”
- “How do you ensure the scalability and maintainability of AI models in production?”
- “What strategies do you employ for optimizing cloud resources when deploying AI solutions?”
Tips on Crafting a CV for this Role
- Showcase Relevant Projects: Include specific AI/ML projects with quantifiable results.
- Highlight Technical Expertise: List tools and technologies like TensorFlow, AWS, and other relevant frameworks.
- Emphasize Collaborative Work: Mention experiences working in multi-disciplinary teams.
Related Job Titles: AI Engineer, Machine Learning Engineer, Data Engineer, Cloud Solutions Architect.
