Jobs
Responsibilities:
- Developing and maintaining Machine Learning algorithms
- Set up and manage our Machine Learning production infrastructure.
- Be part of the management team, designing and leading the product's technological roadmap & vision.
- Drive growth and company value
Requirements:
- Wide knowledge and experience in developing Machine Learning algorithms
- Proficient in Python and ML frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Experience in Computer vision and Image processing
- Familiarity with Python web frameworks (Flask, uWSGI) – a major advantage
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Proceed is looking for a Machine Learning (ML) Engineer to join the AI Department. • Design data science, statistical, machine learning and deep learning systems that influence millions of players
• Implement and optimize appropriate ML algorithms and tools for time series and tabular data
• Transform data science prototypes into full-scale products
• Run live tests and experiments
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks and create new ones, as needed
• Collaborate with other scientists, engineers, architects and analysts spread across several countries
Requirements • 4+ years experience in ML engineering, data engineering or software engineering
• BSc in Computer Science, Mathematics, or any related degree. MSc or PhD degree is an advantage
• Strong programming skills in Python (at least 2 years of experience)
• Experience working with databases (SQL and no-SQL)
• Experience working on high-scale, production-grade projects
• Familiarity with the following big-data tools: Spark, Kafka, Hadoop, Hive (or similar)
• Experience with Linux OS
• All-around team player who is a self-motivated, fast learner
• Experience with Java and Scala- Advantage
• Experience with machine learning frameworks (like Keras, Tensorflow, or PyTorch) and libraries (like scikit-learn)- Advantage
• Familiarity in ML evaluation metrics (Precision, Recall, F1 Score, etc.)- Advantage
• Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production- Advantage
• Background working with a cloud technology stack- Advantage
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Who are we?
Artificial Intelligence Group, Intel IT: Transforming Intel with AI
The Artificial Intelligence Group at Intel IT is the leading group at Intel that creates state-of-the-art artificial intelligence (AI) capabilities. It includes more than 200 Data Scientists, Machine Learning Engineers, and AI Product Managers and Analysts, most of which are located in Israel.
We deliver internal and external AI capabilities to transform the most critical business processes at Intel, from processors R D, through manufacturing to sales and more. We have over 500 AI algorithms in products that create a competitive advantage for Intel and influence almost every processor that Intel provides, yielding over 1B Dollars in extra revenue or reduced costs. In addition, we offer self-service AI platforms and professional services to cater to the growing demand for AI across the company.
Our Data Scientists
We have the dream job for Data Scientists: We solve high-value business problems using many diverse datasets; We analyze images, text, time-series, and tabular data and utilize cutting-edge methods from various AI domains, including classical Machine Learning, Deep Learning, Reinforcement Learning, and more; We’re using a variety of tools (e.g., TensorFlow, PyTorch, Scikit-learn, PySpark). Our Data Scientists are the core of any new solution we develop and they are involved in all the AI aspects of the project: from ideation and problem formulation, through the state of the art research for developing the models, to preparing the production models for deployment. Our large community of over 50 Data Scientists enables you to work and learn with great minds, participate in internal seminars and courses and take part in leading professional conferences, thus ensuring you’ll constantly grow your skills and knowledge.
Qualifications
What we are looking for?
- Top-notch MSc/Ph.D. graduate whose research focused on Machine Learning / Deep Learning.
- Relevant disciplines of studies: computer science, engineering, or statistics.
- Strong ML/DL knowledge + experience in solving data science problems using these methods.
- Highly motivated to solve real-world problems and create high impact in practice.
- Substantial experience in programming in Python.
- Acquaintance with AI-related tools, such as TensorFlow, PyTorch, Scikit-learn, and PySpark.
- Team player with great communication skills, who can also work independently and methodically.
Inside this Business Group
Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.
Job Description
Who are we?
Advanced Analytics is the leading group at Intel that creates state of the art Machine Learning and Artificial Intelligence solutions. Our group is a competency center for Machine Learning and Big Data at Intel, and one of the biggest Data Science organizations in Israel. We deliver internal solutions and products that can create a competitive advantage for Intel.
What are we looking for:
We are seeking outstanding students in the fields of ML and AI. As part of our diverse and dynamic group you will use cutting edge methods in data science across various domains, data types, and learning tasks. Our Data Scientists are a critical part of developing any new solution and are involved in all aspects of the project: from idealization and problem formulation, through the state of the art research and algorithms development, to writing production worthy code in various coding languages such as Python, Scala, Spark, and more.
Qualifications
Relevant candidates must have:
MSc student focusing on Machine Learning, Deep Learning, and relevant thesis.
Strong knowledge and experience in Data Science, Machine Learning, Deep Learning.
Substantial experience in programming languages, such as Python.
Capacity to work at least 20 hours a week, and studies expected to continue for at least 1.5 years
Highly motivated, methodical, innovation oriented, communicative, and a self starter.
Utilis is a successful earth observation data startup company specializing in SAR infrastructure analytics. Utilis has developed a cutting-edge unique technological solution for exploiting data out of radar satellites imageries for different industries.
Utilis R&D department seeks for a strong individual, problem solver with high motivation to join our growing Data Science & AI algorithm team. The selected applicant will be a part of the Utilis innovation cohort taking part in the company AI development and data analysis on unique datasets from satellites.
Responsibilities:
- Perform variety of product data science tasks on the company’s data.
- Design & develop complex computer vision and deep learning algorithms to be applied on satellite imagery and geospatial datasets.
- Prototyping a data-oriented algorithm solution for unique radar satellite imagery challenges and datasets.
- Getting dirty and perform ongoing data analytics and statistical studies.
- Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Qualifications:
Minimum qualifications
- or MSc. graduates in Computer science/Electrical engineering/Math or another computational/quantitative field from leading institutes. Equivalent relevant experience to be considered.
- Strong background in statistics and statistical programming skills.
- Programming: Python (high proficiency), SQL (high proficiency).
- Background in machine learning and computer vision, including familiarity with deep learning frameworks (e.g. Tensorflow, PyTorch, Keras).
- High English proficiency (writing, speaking & reading)
- A “can do” mindset with strong communication skills.
Preferred qualifications
- Master thesis MSc. degree
- Programming: C, C++, Java, R, MATLAB.
- Experience with computer vision and image processing.
- Experience with geospatial & numerical python packages (e.g. Numpy, GDAL, Geopandas, Rasterio).
- Experience with AWS environment.
- Experience with remote sensing, geospatial analytics and GIS development.
- Experience in Geospatial DB (PostGIS).
Full time position (100%).
Start date: Immediate (June 2021).
Location: Afeq industrial park, Rosh Ha'ayin
Job Description
- Turn research ideas and algorithm prototypes into shippable products
- Utilize statistical methods, classic and deep learning algorithms that optimize both accuracy and run-time
- Encounter and solve real-life problems of product-grade algorithms
Requirements
- Proven experience with ML/DL/CV development and deployment
- Proven hands-on experience in SW development with DL & CV frameworks in Python and C/C+, PyTorch, TensorFlow, OpenCV etc.
- Experience working with system engineers and FW/HW engineers
- MSc in Computer Science, Software Engineering, or other technical related fields, exceptional BSc candidates will be considered
Advantages
- Experience in deploying deep neural networks on embedded computers and low power edge devices
- Experience with cloud computing technologies (Azure preferred), or distributed computing
- Experience with MLOps, AutoML
Preferred personal skills
- Team player with good interpersonal skills
- Strong problem solving and critical thinking skills
- Ability to take responsibilities and reach targets
Developing a medical device is challenging.
Developing a medical device that integrates various platforms is a huge challenge that brings great satisfaction!
Here at Binah.ai we are combining the delicacy, efficiency and precision of medical grade devices, built on top of various platforms and devices.
Feel enchanted enough to join our family? Are you ready to go on world changing adventure?
Wouldn't it be great to use your creativity, imagination, and skills to transform how healthcare services are provided around the world?
We are looking for an Algorithm Implementation Developer that will join our research team and develop our new Digital Health cutting edge technologies using data science.
As an Algorithm Developer, you will:
- Conception, design, implementation, and optimization of algorithms in the field of image/signal processing and computer vision.
- Algorithm conversion from Matlab and Python to real-time C++ implementations.
- Ensuring correctness of new algorithms.
- Optimizing algorithms to utilize the final hardware platforms while meeting real-time constraints fully.
- Participating in research for new algorithms and fine-tuning of existing algorithms.
- Translating research requirements into software solutions: development of simulator, Python scripts for analysis, POCs, etc.
- Work in cooperation and collaboration with research and software teams.
To succeed in this role, you should have the following skills and experience:
- B.Sc/ M.Sc in Electrical/Computer engineering / Computer Science.
- Solid background in C++ and OOP.
- 3+ years of Proven experience in real-time SW development.
- Hands-on experience in Matlab and Python.
- Solid and proved background in or more of the following: Image processing Signal processing Computer Vision.
- Hands-on experience with OpenCV.
- Familiarity with SW development tools, such as Git, Docker, etc.
- Excellent communication skills (!!!).
- Independent by nature.
About Imagene
Imagene provides a disruptive AI-based genomic testing solution to assist cancer patients in receiving the optimal treatment that medicine can offer by making genomic testing accessible and leverage their biopsy image for personalized therapeutic strategies.
About the position
Imagene is hiring an experienced data scientist researcher. As part of the initial data science team recruitments, he/she will have the opportunity to influence the research vision, goals, and culture significantly.
Imagene is working with some of the largest players in the health space, so he would have the opportunity to impact many people's lives.
This person must bring an established track record of successfully solving complex problems in the computer vision field and a strong passion for Imagene’s mission.
Responsibilities
● Engage and implement cutting-edge AI technology in the field of unsupervised and semi-supervised learning.
● Apply reinforcement learning for architecture and hyper-parameters search.
● Develop robust Generative Adversarial Networks.
● Keep track and implement the latest state-of-the-art deep learning research.
Qualifications
● 4+ Years of experience programming experience in Python.
● 4+ Years of experience in machine learning algorithms.
● 4+ Years of experience in computer vision algorithm development.
● 4+ Years of experience with the following frameworks: PyTorch, TensorFlow.
● 2+ Years of experience with unsupervised and semi-supervised deep learning models.
● proficient in detection, segmentation, and classification algorithms.
CathWorks is a well-funded, fast growing medical startup creating 3D models out of coronary angiographies, assessing the heart's condition, helping cardiologists make life saving decisions in real-time.
We are looking for a computer vision algorithms developer to join our young and dynamic team. We are dealing with algorithmic challenges such as extraction of 3D information from asynchronously acquired 2D X-ray images of a moving object, machine learning based coronary vessel segmentation and detection, and many more.
Job Description:
Design, implement and test computer vision and image processing algorithms
Work with algorithms developers, SW developers and product specialists to refine and enhance existing applications
Solve complex practical problems and propose mathematical models
Requirements:
Experience in development and implementation of computer vision and image processing algorithms
Familiarity with deep learning, signal processing, 3D reconstruction, graph theory and optimization
High proficiency in MATLAB
At least M.Sc. in computer science, electrical engineering, physics, mathematics, or related fields.
Experience with C++ – An advantage
Experience in medical imaging applications – An advantage
In this unique role, you will join Nova's Machine Learning (ML) group. You will research and develop new physical-based solutions and advanced machine learning algorithms for next-generation Optical Critical Dimension hardware and applications, as part of a world-class team.
Our goal is to transform and optimize device manufacturing and process control in the semiconductor industry. We implement Machine Learning algorithms into products deployed on Big Data ecosystems and on-edge devices to solve our customer manufacturing challenges.
- Nova provides insights into process control in the world’s most technologically advanced industry. We employ physics, math, algorithms, software and hardware expertise to redefine the limits of possible in semiconductors’ manufacturing.
- We invite you to join our dreamers and winners! Brilliant high- aimers who see impossible as the starting point to exciting challenges, and work together in multidisciplinary global teams to find answers.
- We dive deep, into the nanometric and atomic levels, to extract unique insights and provide our customers and partners with crucial decision-making data. Each and every one of us helps redefine what people can achieve through technology.
- Designing and implementing machine learning algorithm and flows for state-of-the-art application Maintaining, testing, and analyzing existing components
- Hands-on development in Python & C++/C#
- Work closely with R&D, HW, SW, and application engineers.
To succeed in this role, you should have the following skills and experience:
- M.Sc. in Computer Science /Math/ Physics/Electrical Engineering – Mandatory
- PhD– advantage
- Proven ability to develop and implement algorithms independently
- At least 2+ years experience as an algorithm engineer
- At least 2+ years experience as a Machine Learning algorithm engineer
- Strong Python & C++/C# implementation skills
- Experience with TensorFlow/PyTorch framework
- Experience with Linux environment – advantage
- Excellent communication skills and team player
- Ability to thrive in a multi-disciplinary environment
- Good team member
- Self-learning capabilities
- Highly motivated
