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
$4000-$5000 per month Personal days Flexible working 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 Problem solver Collaborative approach 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.
