At a Glance
- Tasks: Guide learners through their AI Engineer programme, ensuring timely completion and high satisfaction.
- Company: Corndel is revolutionising vocational learning with innovative programmes in AI, leadership, and more.
- Benefits: Enjoy a dynamic work environment, professional development opportunities, and the chance to make a real impact.
- Why this job: Join a passionate team dedicated to transforming education and empowering future AI leaders.
- Qualifications: Experience in machine learning, coaching, and a strong understanding of MLOps principles required.
- Other info: Corndel values diversity and is committed to creating an inclusive workplace for all.
The predicted salary is between 43200 - 72000 Β£ per year.
Job Description
Corndel is seeking exceptional individuals to join our Professional Development Expert (PDE) Team to deliver first class coaching and training for our Level 6 AI Engineer programme. To be successful in this role you must possesses practical expertise in machine learning, with experience across the full lifecyclefrom business scoping and data engineering through to deployment, monitoring, and ethicβ¦
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AI Engineer Level 6 employer: Corndel.
Contact Detail:
Corndel. Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Engineer Level 6
β¨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially in areas like NLP and generative AI. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
β¨Tip Number 2
Engage with the AI community through forums, webinars, or local meetups. Networking with professionals in the field can provide insights into industry trends and may even lead to referrals for job openings at Corndel.
β¨Tip Number 3
Prepare to discuss real-world challenges you've faced in deploying ML models, such as data quality issues or stakeholder alignment. Sharing these experiences can showcase your problem-solving skills and practical expertise during interviews.
β¨Tip Number 4
Highlight your experience with MLOps principles and production deployment practices. Being able to articulate how you've successfully implemented these in past roles will set you apart as a candidate who understands the full lifecycle of AI systems.
We think you need these skills to ace AI Engineer Level 6
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your practical expertise in machine learning and relevant experience across the full lifecycle. Include specific examples of projects you've worked on, particularly those involving classical ML techniques and recent advancements in AI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for teaching and mentoring learners. Share personal stories of success and challenges in deploying ML models, demonstrating your understanding of real-world applications and ethical considerations in AI.
Showcase Relevant Skills: Clearly outline your technical skills, such as proficiency in Python, familiarity with ML frameworks, and understanding of MLOps principles. Mention any relevant certifications or degrees that align with the job requirements.
Demonstrate Your Coaching Mindset: Highlight your ability to engage and motivate learners. Provide examples of how you've supported individuals in their professional development, showcasing your commitment to learner success and adaptability in communication.
How to prepare for a job interview at Corndel.
β¨Showcase Your Practical Experience
Be prepared to discuss your hands-on experience with machine learning projects. Share specific examples of how you've managed the full lifecycle of ML models, from scoping to deployment, and highlight any challenges you faced and how you overcame them.
β¨Demonstrate Your Knowledge of ML Techniques
Familiarise yourself with classical ML techniques and recent advancements in AI, such as LLMs and generative AI. Be ready to explain how you've applied these techniques in real-world scenarios, particularly in industry settings relevant to Corndel's focus areas.
β¨Emphasise Your Coaching Skills
Since the role involves mentoring learners, be prepared to discuss your coaching philosophy and methods. Share examples of how you've successfully guided others in their professional development, and demonstrate your ability to tailor your approach to different learning styles.
β¨Understand Ethical Considerations
Given the importance of ethical frameworks in AI, be ready to discuss your understanding of these principles. Talk about how you've navigated ethical dilemmas in past projects and how you ensure compliance with governance standards in your work.