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For Companies At a Glance
- Tasks: Support clients with computer vision solutions from pre-sales to post-implementation.
- Company: Join a growing AI company creating innovative deep learning solutions worldwide.
- Benefits: Enjoy remote work, personal days, company retreats, and stock options.
- Why this job: Be part of a fast-paced environment that values customer engagement and technical innovation.
- Qualifications: 5+ years experience in computer vision, machine learning, and network configurations required.
- Other info: Work across European and American time zones in a collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
Skills Provision is actively searching for a Support Engineer. The employing business is a growing AI entity that creates deep learning solutions for organisations globally. In this hybrid role, the successful applicant will work with clients from pre-sales to post-implementation, offering specialist support. Blending this with sales, engineering, and customer success in a fast-paced environment. Due to working patterns, this role requires individuals who can work under European and American time zone constraints.
Sector: IT
Location: Remote
Length of contract: Permanent
Salary and Package:
- Personal days
- Company retreats
- Stock options
The Role
This position is well suited to someone with an enthusiasm for customer engagement and technical innovation. Duties include, but are not limited to:
- Technical sales support: understanding the client’s needs for computer vision applications and explaining technical aspects during the sales process.
- Field application engineering: engage with customers directly to understand their challenges.
- Production Knowledge: offering specialised training for customers and supporting them with documentation, e.g., troubleshooting guidelines.
- Customer relationship management: efficiently communicate and maintain strong relationships with clients.
- Collaboration: work with other teams to relay client feedback and insights to improve functionality and experience.
Requirements
- A minimum of 5 years of experience
- Basic experience in computer vision and machine learning
- Knowledge of network configurations and protocols, including troubleshooting
- Well-versed in cross-platform OS configuration, including Windows and Linux.
- Experience using remote support software tools
- Log file inspection and analysis experience
- Basic scripting skills for automating routine tasks
- Professional English language skills are required (verbal and written).
Skills Provision is an ethical international recruitment agency, as such our adverts do not discriminate with regards to age, race, gender, colour, creed, religion, sexual orientation, disability and nationality.
Support Engineer (Computer Vision) Remote Opportunity employer: Skills Provision
Contact Detail:
Skills Provision Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Support Engineer (Computer Vision) Remote Opportunity
✨Tip Number 1
Familiarise yourself with the latest trends in computer vision and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Prepare to showcase your experience with customer engagement. Think of specific examples where you've successfully resolved client issues or improved their experience, as this role heavily focuses on customer relationship management.
✨Tip Number 3
Brush up on your technical sales skills. Understand how to effectively communicate complex technical concepts to non-technical clients, as this will be crucial in your role as a Support Engineer.
✨Tip Number 4
Network with professionals in the AI and computer vision sectors. Engaging with industry peers can provide insights into the company culture and expectations, which can be beneficial during your application process.
We think you need these skills to ace Support Engineer (Computer Vision) Remote Opportunity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in computer vision, machine learning, and customer engagement. Use specific examples that demonstrate your technical skills and how you've successfully supported clients in the past.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of the challenges faced by clients in the AI sector and how your background makes you a perfect fit for providing support and solutions.
Showcase Technical Skills: Clearly outline your technical skills related to network configurations, troubleshooting, and scripting. Provide examples of how you've used these skills in previous roles to solve problems or improve processes.
Highlight Communication Abilities: Since this role involves customer relationship management, emphasise your communication skills. Share instances where you've effectively communicated complex technical information to non-technical clients, ensuring they understood the solutions provided.
How to prepare for a job interview at Skills Provision
✨Showcase Your Technical Knowledge
Make sure to brush up on your understanding of computer vision and machine learning concepts. Be prepared to discuss specific projects or experiences where you've applied these technologies, as this will demonstrate your expertise and enthusiasm for the role.
✨Understand the Client's Perspective
Since the role involves technical sales support, it's crucial to empathise with clients' needs. Prepare examples of how you've successfully engaged with customers in the past, focusing on how you identified their challenges and provided effective solutions.
✨Demonstrate Strong Communication Skills
As you'll be maintaining relationships with clients, practice articulating complex technical information in a clear and concise manner. Consider conducting mock interviews to refine your ability to explain technical aspects without overwhelming your audience.
✨Familiarise Yourself with Remote Support Tools
Since the position requires using remote support software, ensure you're comfortable discussing your experience with these tools. Highlight any specific software you've used and how it has helped you troubleshoot issues effectively in previous roles.
