Data Scientist
Machine Learning Engineer
Machine learning engineer
Clew Medical innovative analytics solution alerts ICU teams about a patient's possible deterioration so they can provide the right treatment before their condition becomes critical.
We are looking for Machine learning engineer expert to join our team as we productize product offering and expanding predictive analytics capabilities to new clinical areas. The ideal candidate should be eager to learn and grow as well as comfortable jumping headfirst into new concepts and technologies.
What will you do?
As a Senior ML Engineer, you will be part of the Data Science and analytics team which works on the development of cutting edge analytical and AI techniques in data intensive addressing some of the most pressing challenges in healthcare:
· Design and develop novel algorithms and machine learning models.
· Create and automate data pipelines including data extraction, validation & anomaly
detection, indexing and other data-related tasks.
· Quickly iterate on design approaches and POCs based on data-driven research and client
feedback.
· Push the solutions all the way to production. Understand the architectural constraints
and work with an engineering and product team to quickly transition from prototype to
a scalable implementation.
Must have skills:
· 3+ years of hands-on experience in Python/Scala/Java/etc.
· At least 1+ years of relevant experience and track record in Data Science: Statistical Data
Analysis, Algorithms and ML development.
· B.Sc., M.Sc. in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics, or
similar discipline.
· High technical competence that includes a track record of strong coding and individual
technical contribution
· Proven experience creating and maintaining ML solutions in production systems.
· Collaborative team player, able to work with doctors and clinical subject matter experts.
Extra points for:
· Experience with large datasets and distributed computing (Spark, Hive/Hadoop, etc.)
· Familiarity with databases and database structures (SQL/NoSQL)
· Great presentation skills and ability to explain complex solutions to non-technical
colleagues.
Things we appreciate
· Strong analytical thinking ability
· Self-motivated and strong team contributor
· Ability to work in an agile and dynamic environment.
Why join us now?
Our product is operational, and we have strong financial backing from Israel’s leading venture capital funds. We are at a critical stage in product development and all team members are encouraged to take initiative and become full partners in this lie changing mission.
We have funding, ability, a strong team, and an important mission.
Join us for a life-changing mission!
Observability is the convergence of the massive telemetry and analytics platforms powering Azure and everything on it, Windows and Xbox. Observability offers a portfolio of massive scale platforms and solutions to monitor the health and performance of your systems and applications across the stack (IaaS, K8s, PaaS, SaaS and all types of clients) and surface actionable insights.
Our team in the Israel R&D center, drives AIOps into all layers of the Observability portfolio by harnessing data science, ML paradigms and statistical inference deep into the technology and customer facing experiences. A few examples are Dynamic Alerts, Smart Alerts, Smart Detection and Smart Grouping of alerts. And there are many more internally facing magics.
Observability ingests and processes ~225 PB of data daily with a +100% growth YoY. We’re inviting you to come help us innovate and make the most out of this data.
Responsibilities
We are looking for a passionate Senior to Principal applied researcher with a strong technical background and diverse approach to solving problems. You will be working closely with Product Management and Engineering disciplines to create and deliver unique and competitive value to our customers. You will be challenged to select and apply the right paradigm for a solution out of many options at hand (machine learning, time series analysis, statistical inference, and other data science toolkits). To be successful you will need to demonstrate passion for data mining and to making happy customers at equal levels. Coding will be done in a variety of languages and mainly C# and Python.
Qualifications
- Ph.D. in Computer Sciences / Mathematics / Physics
- Programming experience (C#/Python)
- Fundamental knowledge of Machine Learning & Data Mining theory and algorithms
- Demonstrated experience in solving difficult problems connecting theory with real world impact.
- Advantage: Relevant publications in machine learning / vision / NLP / data mining conferences
- Advantage: knowledge of statistical inference theory and applications
- Team player – strong interpersonal and communications skills
Data Scientist
We are looking for a highly motivated individual to join our data science team. If you are passionate about data with a business focus, have 2+ years of industrial experience as a data scientist, and willing to work in a young and dynamic team, please get in touch.
You will have full responsibility for the whole machine learning cycle – exploratory data analysis, model and train machine learning-based models, implement in production environments, etc.
Requirements
- MSc degree in a quantitative field.
- 2+ years of industrial experience as a data scientist.
- Strong knowledge in Python.
- Hands-on experience in machine learning and deep learning models development (Time-series is a significant advantage).
- Strong knowledge of statistical and probability theory.
Senior Data Scientist
This is us
Artlist is a leading Creative Technology company for video creators. With original, high-quality music, SFX and footage, Artlist is helping creators produce quality content worldwide.
Since being founded in 2016, Artlist has managed to revolutionize the Filmmaking industry by offering subscription-based products with a license that covers every video project from personal use to commercials with high quality curated content
Today, Artlist is the go-to licensing provider for content creators in over 160 countries.
Our company continues to grow in search of new solutions that will simplify the workflow of filmmakers and creators, so they can focus on creating quality content.
We are looking for a Senior Data Scientist to join our data science team in Tel Aviv.
As a data scientist you’ll define, research, develop and deploy models – impacting artists and creators all over the world!
Working with us means training your model on diverse data created by the top filmmaker and musicians worldwide (you’ll love it!)
Wake up for this:
- Understand the business and product needs and transform them into successful scientific and production ready solutions.
- Build cutting edge models and data pipelines to develop valuable features for our users like:
- Recommendation systems empowering creators all over the world.
- Optimizing user journeys on our platform.
- Analyzing top quality labelled data.
- Creative algorithms to empower our creators.
- Write production grade code, served to our user audience.
- Guide junior DS and be a source of knowledge.
Requirements:
- Minimum of 5 years of hand-on data science, at least 3 years in the industry.
- Extensive knowledge of ML disciplines and algorithms in various fields.
- Expertise in one of the fields – CV, audio, recommendations .
- Excellent programming skills in python, knowledge in SQL.
- Software engineering background – Plus.
- Passionate about music & art – Plus.
Data Scientist
About Us
Cynet is a technology-oriented company continuously looking for new ways to innovate the Cybersecurity world. Our main priority is to defend our customers from any harm in the vast digital ocean. But Cynet is more than just a product, we are a family. We value each one of our members and their inputs. Cynet is a place where your work will have a direct impact on the way we service our customers.
Description
We are looking for a passionate hands-on Data Scientist to join our research team and develop new innovative machine learning ideas from conception to realization based on our multi-vector diverse datasets.
Some of the challenges you will tackle:
- Envision, research, develop, and apply large-scale, machine learning-based models which will empower our next-gen AI detection solution.
- Develop algorithms that will assist cyber analysts in finding malicious activity.
- Develop multivariate anomaly detection for user and entity behavior using DL.
- Consistently improve our AI-powered detection mechanisms.
Requirements
- Hands-on experience as an end-to-end Data Scientist, from data cleaning to production-ready models, in at least two of the following topics:
- Classical ML knowledge (KNN, RF, regression, clustering algorithms, GBDT, SVM).
- Ability to build DL NN from papers using TF or Pytorch.
- Multivariate anomaly detection.
- Advanced programming skills with python, ability to implement your models as part of a well-written system.
Would be great to also have:
- Cyber security knowledge.
- Experience with implementing Rest-APIs with Flask.
- Experience with Elasticsearch and Kibana.
- Experience with Linux distributions.
ML CV developer
For a new startup in the field of computer vision and deep learning, a ML computer-vision developer is needed to own the development of a robust end-to-end deep learning computer vision product.
Availability is required for about 50% capacity in the next 3-6 months.
We are looking for a person experienced with SOTA computer vision deep-learning architectures, who will implement the network architecture, training and evaluation. You will be expected to participate in research and design of all stages of development, including dataset creation and up to convergence, integrating hand-crafted features, overcoming domain-specific caveats on the way until successful delivery to production.
Requirements:
- Experience with deep learning frameworks in Python.
- Experience with computer vision objectives and related deep-learning architectures.
- Advantage – experience in dataset generation and augmentation.
- Advantage – experience with delivering deep learning products to successful production level.
- Advantage – experience in working against the cloud (e.g. AWS, GCP).
- Advantage – familiarity with classical image processing techniques.
- Advantage – BSc or higher degree in computer science / math / related subject.
Data Scientist
- conduct research and development in the areas of machine/deep-learning and computer vision.
- monitor, maintain and advance production models.
- take ownership from research all the way to full production.
- MSc. in CS/EE/Applied math or other related fields.
- hands-on experience (3y+) with coding machine/deep learning solutions for computer vision.
- fluency in Python.
- strong communication and collaboration skills.
- team player, positive and driven, fast learner.
bonus points for:
- experience with putting machine learning models in production.
- experience with Google Cloud Platform.
- experience in remote sensing.
Computer vision & Deep learning developer
Were you ever stuck in traffic, wondering why jams are still a thing in 2021? We were thinking that too!
That’s why we’re building software to solve traffic jams. Our team creates state of the art machine learning algorithms, computing traffic patterns and preventing jams before they accumulate.
We aren’t looking for gurus or Jedis – but we are looking for down to earth deep learning/computer vision engineers who are fast learners, with an appetite for cutting-edge AI tech and strong motivation to solve the traffic problem.
Must haves:
– B.Sc/M.Sc Electrical engineering / Computer science
– Knowledge in unsupervised machine learning algorithms
– Knowledge in object detection using deep neural network
– Knowledge in math
– Fluency Tensorflow, Python, and English 😉
– Familiarity with Linux environments
– Self-learner
Nice to haves:
– Experience in DNN and CNN product deployment
– Fluency in C++, CUDA
– Experience in data-driven system development
– Understanding of deep learning architecture / Tensorflow / Pytorch
– Experience with OpenShift, Kubernetes, Jenkins cloud platforms
Algo Developer for the CTO Office
Mobileye’s CTO is looking for an outstanding computer science graduate to join the CTO team.
Which department will you join?
The “CTO team” is a small, elite, team, whose goal is to build next-generation algorithmic solutions powering Mobileye’s self-driving car, crowd-source HD maps, and advanced driver-assistance systems. We apply multiple technologies to develop these solutions, including machine learning, deep learning, computer vision, and mathematical modeling. The group consists of top-notch developers and researchers and is headed by world-class scientists.
This is a unique opportunity for a passionate technical leader to join the CTO team, work closely with the CTO on next generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will you do?
- Work as a CTO team member, driving next-generation technology developments & innovations
- Mathematical modeling and abstraction of problems
- Design algorithmic solutions
- Code design, implementation, and hands-on development.
Desired Background
- Computer Science/Computer Engineering outstanding graduate from leading institutions – must
- Outstanding mathematical capabilities – must
- Outstanding coding capabilities C++/Python – must
- Capable of self-learning scientific articles – must
- Mathematical degree – advantage
- MSc/PhD – advantage
- Background in machine learning / deep learning / computer vision – advantage
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
Join us to do the best work of your career and make a profound social impact as a Senior Data Scientist on our Data Science team in Beer Sheba.
What you’ll achieve
Our team develops new methodologies, capabilities and tools to enable advanced modeling and statistical analysis of business data and very often, very large business data. Our Data Science team works with prospects and internal customers to prove the analytical capabilities of Dell’s technology in generating business insights from big data.
A member of our Data Science team is charged with understanding and prioritizing our business and customers’ most urgent data driven problems and opportunities and use advanced mathematical methods and models to provide answers.
You will:
- Work, under little to no supervision on tight schedule projects, with internal and external teams to understand customer requirements and develop proposals and data-driven, AI solutions to address to those requirements
- Perform end-to-end steps involved in solution development, while establishing subject-matter expertise in key horizontal or vertical themes. Steps include preliminary data exploration and data preparation steps, variable/algorithm selection, model development/validation and scoring. Horizontal themes include: Marketing Analytics, Operations Research, Text Analytics, Graph Analytics, Hadoop, etc. Vertical themes include: Financial Services, Retail/CPG, Energy, Life Sciences, etc.
- Independently develop and drive the model development lifecycle, testing of algorithms' efficacy (i.e., by applying to test/sampled data and assessing accuracy/fit/predictive strength) for differing analytical use-cases
- Develop and apply a broad range of techniques and theories from statistics, machine learning, and business intelligence to deliver actionable business insights to prospects and customers based on large-scale data
- Communicate and explain results and insights to business executives throughout projects’ life cycle
- Join in defining of project use-cases, scope definition, and ongoing interaction with customers and business partners to provide status updates and shares analytical insights
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements
- 2+ years relevant industry experience / 4+ years academic experience
- M.Sc. in Computer Science, Math or related disciplines
- Experience with the data science toolbox, i.e:
- Programming and Scripting skills (C, C++, C#, Java, Python, Bash, etc)
- Big Data technologies (Apache Spark, GreenPlum DB, Hadoop, Cassandra, MongoDB, etc)
- Analytics platforms (R, SaS, Octave/Matlab, etc)
- Visualization tools (MatplotLib, ggplot, Tableau, D3, Processing, etc)
- Customer focused & Problem solving skills
- Possesses strong product/technology/industry knowledge
- Statistical analysis and mathematical skills
- Strives for professional development
