Selecting the Right Neural Networks Design Engineers
Hiring is one of the toughest challenges any company can face, either large enterprises or new startups. There is a great deal of know-how kind of experience when hiring a Neural Networks Design Engineer, not all companies have the right processes that can warrant best hires.
At SupportFinity, we streamlined our processes and in-house standards to make sure of having one of the top world-class hiring processes. The magic mix of skills ingredients is what separates a great hire from a not-so-good one. We came to this conclusion through consulting top technical and HR experts in addition to our years of work and exposure with most sophisticated projects across almost all tech verticals and areas of expertise. So you get one of the best recruitment processes to hire a Neural Networks Design Engineer.
As we have created and crafted a unique method of teams’ customization, we have also perfected our signature model of matching the right skills for our customers to hire either one Neural Networks Design Engineer or a team of Neural Networks Design Engineers. We have a long lasting belief in the power of data analytics in creating unmatchable results, thus, we apply our analytical models on our hiring process same as we do in our business model.
Neural Networks Design Engineer Job Description Template
Neural Networks Design Engineer
AKA: Neural Networks Developer
- The Neural Networks Design Engineer develops software using Neural Networks standards.
- The Neural Networks Design Engineer contributes to the architectural design of current and next software releases.
- The Neural Networks Design Engineer works with algorithm members to drive innovations in optimization for the best user experience.
- Working with system programming, Model optimization, real-time streaming data, distributed computing, and deployment.
- Accountable for resolving all project level, cross-functional, partnership issues, and escalations.
- Manages partner/client expectations for data communications connectivity and related services to products and applications, throughout the project(s) lifecycle.
- Coordinates internal operations to meet and exceed data communications project expectations (including but not limited to Network and IT Operations, capacity planning, and production readiness.)
- Developing deep learning software with high proficiency in data structures and algorithms.
- Strong programming skills and experience.
- Software development experience in Deep Learning, in Model Optimization.
- Experience in system software, model execution and performance optimization.
- Experience in Neural Network architectures for Video Analytics, and Image Classification.
- Experience with multi-threaded programming, parallel processing, and distributed programming.
- Basic understanding of convolutional neural networks.
- Demonstrated effective communication and collaboration skills.
We receive requests of hiring from candidates among more than 100 countries.
As we bring skills from each and every place in the world, we make sure we have the
right match of language proficiency with our clients' requirements.
Your Neural Networks Design Engineer or team of Neural Networks Design Engineers will have the needed level of language knowledge you expect,
each candidate passes through our language tests that warrant at least a good
command of reading, writing and speaking of the languages our clients ask for.
We know that communication starts from speaking common languages, thus we put this aspect as a first factor in
our selection process, we do not proceed with hiring for Neural Networks Design Engineer before making sure that the
candidate passes the language ability tests first.
The next level of screening we perform at SupportFinity is the
communication quality, in this stage we make sure that the Neural Networks Design Engineer
can deliver high quality of communication; especially on the technical aspects of the job.
We conduct our assessments to cover multiple aspects of communication
quality, such as:
The ability of self-explanation ( writing – speaking )
The ability of describing problems structurally and technically ( writing & speaking)
The ability of explaining ideas, situations and problems ( reading, writing & speaking)
This part mainly measures the logical, numerical and analytical aptitude of each candidate, top ones are the only ones we select for next stages.
We have a set of interview tests that measure the agreeability levels of each candidate for
Neural Networks Design Engineer, we do so as we believe that likability of any person starts from the ability
to achieve high levels of agreeability without compromising critical thinking.
We also measure the creativity side of the Neural Networks Design Engineer you look for, where we see when and how each
candidate can apply out-of-the-box and innovative ways of fixing problems or creating new solutions.
Some people can do well when working on their own, some others cannot!
Knowing this matters a lot when hiring a Neural Networks Design Engineer with regard to the team size needed.
Remote work needs a special level of team work skills, so we make sure that your Neural Networks Design Engineer can adapt and work well with your team
and be quickly part of it if needed.
We care about hiring someone who can deliver, create and perform the way you expect
with passion and enthusiasm.
We assess our people’s technical abilities on the merits of achievements more
than anything else.
Hiring the right Neural Networks Design Engineer is an uneasy decision, we consider
measing the actual technical skills of each candidate.
Having a great resume
is just the start for us, we select candidates know what they say
they know!
We conduct advanced technical tests to make sure we cover the needed knowledge your
Neural Networks Design Engineer needs to have to excel for your business.
We weigh academic qualifications as well, we also request our full time employees to submit their education evidence as a major hiring rule to follow. We believe having the right academic qualifications can make a great difference, especially in advanced science based areas like electronic design, engineering planning...etc.
One important metric for us is the ability of your Neural Networks Design Engineer to learn new skills, so we make sure that we select people who are only dynamic and willing to learn new ones.
Get in touch
Our team will be always happy to speak with you.
Frequently asked questions
