דרושים בחברת Edgify

Edgify is looking for a techsavy Customer success engineer
 to join our sales and customer success team in escorting our clients through their entire customer journey, from initial conversation to full deployment! You will serve as the primary technical point of contact .
What you’ll do?
technical assistance which includes sessions with customers : installations, tech evaluations as well as resolving complex technical issues.
Pre-sale tech support: Train, empower and support the sales team with product knowledge and technical Q&A.
Take on a pro-active role in potential client evaluation.
Work directly with key technical stakeholders in regards to initial integration and rollout plans.
Inside Edgify: Deliver client insights and request client needs from all internal teams
Manage the solution demo system
Develop miscellaneous coding projects that support demos, proof of concepts, integrations and tech support as needed.

Minimum 2 -4 years of full-time work experience at tech companies or a tech startup as a sales engineer\Customer success\Pre-Post sales
Bachelor's degree in Computer Science or Engineering or equivalent
Intermediate-level knowledge of a broad range of technologies such as: Docker environment, Understanding client server architecture, Network infrastructures 
Excellent verbal and written communication skills in English
Hands-on experience with troubleshooting and problem solving
Ability to travel 30% of the time (Covid permitting)
Must be pragmatic, realistic, and build strong, respectful relationships across levels of seniority
Comfortable working day-to-day with cloud-based workflow tools such as Monday, Google Apps, and Slack
You're well organized, good at prioritizing and juggling multiple work streams.
You are comfortable with working through problems of a fast-growing company.

Skills - Nice to have

experience in customer success or customer-facing roles, for a technical product or services company.
Experience in working with machine learning based products
Familiarity with the Retail industry and its ecosystem
Knowledge of open source, cloud, and containers.

Our algorithm team deals with a variety of challenges associated with training DL models on the edge. We believe in “diving deep” into our solutions and many of our discussions end up in scribbling equations on the board.
Some of the cool research topics we’re working on: Federated Learning, Model Compression, Online Learning, NON-IID data distributions, Differential Privacy etc.
As a researcher on the algorithm team, you will be given complicated problems to research and will be expected to lead the research process from the phase of literature review right up until the integration of the solution into the system. Our algorithm framework sits at the core of the Edgify product, and as part of the job you’ll be expected to participate in the development and improvement of the framework.

Requirements
MSc / PhD in Computer-Science, EE, Physics, Mathematics (or similar).
2+ years of experience in ML/DL/CV development. Academic experience may be considered only in the case of hands-on research in DL with a relevant framework (see below).
Strong Python development skills.Familiarity with one of the major DL frameworks: PyTorch /TensorFlow / MXNet.
Advantage: C++ development skills.