VATBox has successfully digitised the VAT/GST recovery workflow with its cloud-based enterprise recovery solution. Using intelligent automation, VATBox helps large corporations – including Fortune 500 companies – gain actionable insight into their transactional data, empowering finance and tax professionals with full data integrity, tight compliance and maximum savings. Fusing AI and Computer Vision with human expertise, VATBox provides a full spectrum of VAT/GST audit and recovery services. Benchmarks for tax, finance and procurement – aimed to encourage process improvements and compliance – are all collected in one easy-to-use portal with drill-down capabilities into every single transaction, no matter how small.

Join us to support our mission to empower tax professionals to make strategic business decisions based on transactional data.

About the position:
You will work on designing and implementing high performance infrastructure for training and deploying machine learning models to provide fast, robust, highly scalable services in production. This will include working with data scientists to facilitate their work whilst ensuring software engineering best-practice.

Key Responsibilities:
Design and implement infrastructure to train, deploy, and monitor machine learning models.
Work with distributed computing technologies for processing big-data to train-models and make features available in production.
Write production-ready Python code for model training and deployment.

About You:
Practical understanding of Machine Learning
Able to write high quality, production-ready, Python code
Experience with SQL databases and key-value stores (NoSQL)
Understanding of HTTP and RESTful design
Experience working with containerization and orchestration technologies – docker, kubernetes.
Experience working with AWS or at least another common cloud platform (GCP/Azure)
Familiar with distributed general-purpose cluster-computing (e.g. Spark, Dask, Ray)
Comfortable with unix-based systems
Familiar with testing methodologies and TDD best practices
BSc in Computer Science or equivalent (advanced courses or a MSc in a related field are a major plus)

Not a must, but great to have:
Experience partaking machine learning research and model building from scratch
Basic familiarity with ETL/BI tools & methodologies
Experience with using tools in the MLOps domain (Kubeflow, Apache Airflow)
Familiar with Scala

What we offer:
Competitive salary.
Generous compensation package.
The best tools and equipment to ensure smooth working (personal laptop, headphones, ergonomic bag and a secret surprise…)
Ongoing training and mentoring by industry leaders to empower you to be at your best and achieve the most.
Innovative & fun working environment where your express your creative ideas and execute your professional goals.

EEO
VATBox is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, colour, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or other applicable legally protected characteristics.

Are you a talented data scientist with industry experience? Are you thrilled by the opportunity to engineer robust solutions that eat real world constraints for breakfast? NetApp’s growing data science team is looking for you!

NetApp’s R&D center in Tel-Aviv is now recruiting a senior data-scientist for multiple projects: You will join a small and growing team of data scientists responsible for the entire cycle of proprietary machine & deep learning solutions.

Our solutions process huge amounts of texts in many different languages, comprehend the essence and context and provide information to the enterprise regarding sensitive information assets found in the data. We identify the most secret and secure information in the pile of millions of textual fragments, regardless of language, culture and domain.

You will research, develop and deploy machine learning pipelines that empower organizations to map and protect their most sensitive information effortlessly. The solutions you will build will be deployed into a finalized product serving thousands of companies, and protecting personal information of millions of people.

Requirements:

• 3+ years of hands-on machine learning experience in the industry
• M.Sc in CS / EE / exact science fields from leading universities (or B.Sc with outstanding ML engineering experience)
• Hands-on experience in back-end development (server side) / strong software engineering background, coding in python/Java/C++
• Can-do attitude and desire to become a technological focal point in the company
• Familiarity with TensorFlow / Keras / PyTorch, as well as sklearn, Jupyter and pandas
• Experience in leading large projects at the component level
• Ability to quickly prototype ideas / solutions, perform critical analysis and using creative research approaches for solving complex problems

Preferred requirements:

• Experience in developing and deploying deep learning architectures at scale
• Expertise in NLP, time series and/or anomaly detection problems
• Proven experience in real world problem solving, ideally from NLP domain (e.g. encountering unexpected data, monitoring models performance after deployment and production challenges)
• Inquisitive and problem solver mentality
• Methodological with ability to break-down complex problems

We are looking for a senior algorithm engineer that wants to lead a small team working on a platform that involves cameras, radars, distributed computing, and airports.

You will be working on a dynamic robot style system that detects very small objects from hundreds of meters using both camera and radar technologies.

The algorithms needed range from CNN’s, RNN’s, SVM’s and other machine learning algorithms to camera projections, image processing, and tracking.

We are a "hands on" company, so we like our algorithm team to be able to do software implementation of the algorithms.

Requirements:

Proficient in either C#, or C++ – Minimum 5 years of experience – Must

 C++ experience with NN library – a big plus (Tensorflow, Pytorch, etc.)

Python is a plus

Matlab is a plus

Job Description: 

• Implement, validate & deploy human-aiding and/or fully-automated Computer Vision applications in the fields of Automotive, Electronics, and semiconductors manufacturing.
• Demonstrate gained value to Optimal+ customers in the vectors of Yield, Product Quality, and Reliability performance, Throughput and Efficiency through detailed ROI.
• Partner with Business Units, R&D, Product Management and Product Marketing to enhance the overall company offering through internal development of new solutions.

Requirements:

• M.Sc degree in Electrical Engineering, Computer Science, Computer Engineering, Mathematics, or related field with specialization in deep learning and/or computer vision.
• Strong coding skills (preferably python).
• Hands-on experience in the field of computer vision.
• Strong Analytical and Problem-Solving skills.
• Excellent English language proficiency.
• Good communication and interpersonal skills for interfacing with customers.
• Patience, determination and attention to details.
• Willingness to travel up to 20%.

Do you care about impact on people?  Do you want to publish your work in top tier-1 conferences? 

Bosch Center for Artificial Intelligence in Israel is a unique place that researches and implements cutting edge technologies for manufacturing, automotive, robotics, and industrial applications. We are looking for Computer Vision experts to various projects. If such things interest you, then Bosch Israel is looking forward to your application!

Qualifications

• Excellent PhD or MsC in Computer Vision
• Strong academic records and numerous tier-1 publications.
• Strong in Python and Deep Learning frameworks.
• Self-confident and responsible team player with excellent communication skills across all hierarchy levels
• Initiative, highly motivated and motivating character for the team and partners.
• Ability and willingness to define a research agenda to solve real-world problems occurring at Bosch. 
• Like to work in an interdisciplinary as well as international team.

L1ght is looking to hire a Chief Scientist – a scientific person that's both theoretical & practical. Join our team!

About Us

Our DNA is rooted in cybersecurity and white hat hacking. It’s with this that we're building technology to protect children & adults from toxic online behavior.

Job Overview

Manage a team of data scientists and the IP portfolio of the company. Stay on top of developments in the field of algorithms, emphasis on NLP. You will report to the CTO.

Responsibilities and Duties

– Manage data science & data analysis teams: Vision, planning, execution – Manage IP portfolio: Writing, filing, maintenance

Qualifications

– Ph.D. in Computer Science or relevant engineering degree

– 8+ years of experience leading & managing data science projects

– 5+ years of experience managing 10+ member teams directly

– Proven track record in patent writing & IP generation (took part in generating & filing 10+ patents that can be tracked)

– Extensive, hands-on experience developing ML algorithms in the field of NLP

– Proven track record pushing ML to production

– Must have experience building a strong algorithm team

– Coding skills are a must

– People person & team player

About Us

Our DNA is rooted in cybersecurity and white hat hacking. It’s with this that we're building technology to protect children & adults from toxic online behavior.

Job Overview

Crunch texts, images, videos, audio files, etc. to try and identify human behavior in them that poses risks/endangers kids. You'll report to the Data Science Team Leader.

Responsibilities and Duties

– End-to-end research, development, and productization of machine learning and AI algorithms in the field of NLP and computer vision

– Develop algorithms designed to detect malicious human behavior, verbal abuse, and other undesirable activities.

Qualifications

– B.Sc. Computer Science or relevant engineering degree

-Minimum 3-year experience in the field

– The job requires hands-on experience in developing ML algorithms in the field of NLP

– A proven track record in pushing ML to production

– Candidate must have concrete experience in bringing an algorithmic system from early research and POC to production-grade

– Coding skills are a must

– People’s person & team player

About us

Green Eye utilizes A.I. to disrupt the agricultural weed control process by providing precise spraying of chemicals, thereby decreasing the usage of herbicides by up to 90% while increasing yield. We have recently closed our 2nd round of funding, looking to expand.

We are looking for highly talented Data Scientists with a Computer Vision background to join our R&D team.

Requirements

• Team player
• Strong programming skills
• Self-learning abilities
• BScMScPhd in Exact science
• Familiarity with Linux
• Experience with developing computer vision algorithms
• Experience in Deep Learning
• Experience with TensorflowKeras
• Experience with OpenCV
• Experience with Nvidia Jetson – advantage
• Experience with Arm – advantage
• Years of experience: 3-5 years

Don't be shy to apply! Even if you don't have all the requirements please let us know your interest.