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: Bachelor's degree in IT, 3+ years of AWS AI/ML experience, and strong communication skills.
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 to jobs@ekascloud.com.
Remote AWS AI/ML Trainer - Flexible Hours & Impact employer: Ekascloud
EkasCloud is an exceptional employer that prioritises flexibility and professional growth, making it an ideal place for passionate individuals to thrive. With a supportive and collaborative team culture, employees benefit from competitive compensation, opportunities for continuous learning, and the chance to make a meaningful impact in the field of AI and ML training. Join us remotely and help empower learners worldwide while enjoying the freedom of flexible work hours.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AWS AI/ML Trainer - Flexible Hours & Impact
✨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
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 you've had. 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! Share your passion for teaching and how you can make a difference in our learners' lives. We love hearing personal stories, so feel free to include why you're excited about this role.
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 skills in real-world scenarios, so give us the details!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 Polly. Be ready to discuss how you've used these tools in your past roles, as well as any projects you've worked on that showcase your expertise.
✨Show Off Your Teaching Skills
Since this role involves training others, think about examples where you've successfully taught or mentored someone. Prepare to share specific instances where your guidance made a difference, and be ready to demonstrate your ability to simplify complex concepts.
✨Prepare for Practical Scenarios
Expect to face practical questions or scenarios during the interview. Think about how you would design a training session or handle a challenging student. Practising these scenarios can help you articulate your thought process clearly.
✨Engage with the Interviewers
Don't forget that interviews are a two-way street! Prepare some thoughtful questions about the team, the training programmes, and how they stay updated with AWS advancements. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
