At a Glance
- Tasks: Deliver engaging online training on AWS AI/ML services and mentor students.
- Company: Join EkasCloud, a leader in personalised online training for emerging IT technologies.
- Benefits: Enjoy flexible hours, competitive pay, and opportunities for professional growth.
- Other info: Collaborative team environment with continuous learning opportunities.
- Why this job: Make a real impact by empowering learners with cutting-edge AI/ML skills.
- Qualifications: 3+ years of AWS AI/ML experience and strong communication skills required.
The predicted salary is between 84000 - 120000 £ per year.
EkasCloud is a global leader in personalized online training, specializing in Cloud Computing, DevOps, and emerging IT technologies. Our mission is to empower individuals and teams to unlock their potential through hands-on learning experiences.
We are seeking an experienced and passionate AWS AI Trainer to join our dynamic team. As a remote trainer, you will deliver high-quality training sessions on AWS Artificial Intelligence (AI) and Machine Learning (ML) services, helping learners gain practical knowledge and industry-relevant skills.
Key Responsibilities:- Conduct interactive online training sessions on AWS AI/ML services, such as SageMaker, Rekognition, Polly, Lex, and Comprehend.
- Design and update course materials, hands-on labs, and assessments to ensure alignment with industry standards and AWS certifications.
- Provide one-on-one mentorship to students, guiding them through practical exercises, projects, and real-world scenarios.
- Keep abreast of the latest advancements in AWS AI/ML services and integrate new features into the curriculum.
- Assess learner performance and provide constructive feedback to foster growth and confidence.
- Work closely with the EkasCloud team to enhance training programs and customize courses based on learner needs.
- Bachelor’s or Master’s degree in Computer Science, IT, or a related field.
- AWS Certified Machine Learning – Specialty (or equivalent) is a must.
- Minimum of 3 years of hands-on experience with AWS AI/ML services.
- At least 2 years of experience in training or mentoring roles.
- Proficiency in AWS services like SageMaker, Rekognition, Polly, Lex, Comprehend, and Lambda.
- Strong knowledge of Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Hands-on expertise in deploying, managing, and troubleshooting AI/ML solutions in AWS.
- Excellent communication and presentation skills.
- Patience, empathy, and a passion for teaching.
- Ability to simplify complex concepts for diverse audiences.
- Familiarity with online training platforms and collaboration tools (Zoom, Microsoft Teams, Slack, etc.).
- Flexible work hours to accommodate global learners.
- Competitive compensation package.
- Opportunities for professional development and continuous learning.
- A supportive and collaborative team environment.
Interested candidates are invited to send their updated CV and a cover letter explaining their suitability for the role.
Remote AWS AI/ML Trainer - Flexible Hours & Impact in London employer: Ekascloud
EkasCloud is an exceptional employer that prioritises flexibility and professional growth, making it an ideal choice for those passionate about teaching AWS AI/ML. With a supportive team culture and opportunities for continuous learning, employees can thrive in a dynamic environment while enjoying competitive compensation and the ability to work remotely. Join us to make a meaningful impact on learners worldwide through innovative training experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AWS AI/ML Trainer - Flexible Hours & Impact in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, join relevant online forums, and attend virtual meetups. The more people you know, the better your chances of landing that AWS AI/ML Trainer gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects and training materials related to AWS AI/ML. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions and scenarios related to AWS AI/ML. Practice explaining complex concepts in simple terms, as this is key for a trainer role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote AWS AI/ML Trainer - Flexible Hours & Impact in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS AI/ML services and any relevant training roles. We want to see how your skills match what we're looking for, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're passionate about teaching AWS AI/ML and how you can make an impact. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Be specific about your technical expertise in AWS services like SageMaker and your programming skills in Python. We’re keen on seeing how you’ve applied these in real-world scenarios, so include examples where possible!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Ekascloud
✨Know Your AWS AI/ML Stuff
Make sure you brush up on your knowledge of AWS AI and ML services like SageMaker, Rekognition, and others mentioned in the job description. Be ready to discuss how you've used these tools in your previous roles and share specific examples of projects you've worked on.
✨Show Off Your Teaching Skills
Since this role involves training others, think about your teaching style and how you can convey complex concepts simply. Prepare to discuss your experience in mentoring or training, and maybe even plan a mini-presentation to showcase your skills during the interview.
✨Stay Current with Industry Trends
EkasCloud values staying updated with the latest advancements in AWS AI/ML. Research recent developments and be prepared to talk about how you would integrate new features into your training sessions. This shows your passion for the field and commitment to continuous learning.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world scenarios. Think of examples where you've had to troubleshoot issues or adapt your training methods to meet diverse learner needs. This will demonstrate your practical experience and adaptability.
