ID: 31599
Were looking for a Machine Learning Scientist to join our Content Intelligence team in Tel Aviv.
As a machine learning scientist, your work will focus on building, training and deploying content models (Computer vision, NLP and Generative AI) using the most advanced technologies and models.
You will be responsible for identifying and proposing the most appropriate data sources and modeling techniques to solve complex problems and drive business value.
Key Job Responsibilities and Duties:
Explore and apply state-of-the-art techniques in multimodal machine learning.
Train innovative ML models (NLP, CV, LLM-fine-tuning), build algorithms, and engineering approaches to drive business impact..
Coding skills: ensure implementation of reusable frameworks (clean and scalable code).
Conduct data analysis with detailed metrics to evaluate models performance, labels quality, features exploration.
Work closely with machine learning engineers to ensure the model's latency/throughput meets product requirements and ensure deployment of your model to production.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

Required Data Scientist
We are a global leader in the automotive cyber security industry. We protect drivers & manufacturers from cyber attacks on their vehicles. We use top notch technology & have several products for inside & outside the car. Our growing team is built of talented thinkers and we are always looking for more!
About The Position
Why us?
You can be part of a leading company in the automotive industry
You can help save lives
You can work with cool challenging technology
You can make an impact and help change the world
Job Location: Tel Aviv
Job Description:
Lead the development and deployment of Large Language Models (LLMs), as the primary expert, ensuring optimal performance, scalability, and practical application within the organization, setting a precedent for innovation and excellence.
Implement advanced techniques for LLM training, including parameter efficient fine-tuning, and optimization for cost-effectiveness and response speed.
Define and establish metrics for evaluating LLM performance, including accuracy, bias, and real-time responsiveness, driving continuous improvement and innovation.
Develop generative AI capabilities utilizing varied big data sources to extract detailed textual and graphical insights, paving the path for pioneering data exploration and analysis.
Architect, design, and deploy anomaly detection models for real-time monitoring of vehicle data streams, encompassing all stages from data preprocessing to model deployment in production.
Collaborate closely with cross-functional teams to integrate data science solutions seamlessly into existing infrastructure, driving efficiency and reliability.
Take ownership of research and development initiatives, identifying opportunities for advancement and proposing innovative solutions to address complex challenges.

Want to make a real difference in the mobile industry? Aura's cutting-edge data science team as a Senior Data Scientist and be part of the team that personalizes experiences for over 400 million mobile users worldwide.

You'll be on the frontlines of innovation, using the latest tech to research, design, implement, and evaluate advanced machine learning algorithms. This role will allow you to develop real-time solutions that personalize the user experience, directly impacting the product.

If you're a data scientist who thrives on making an impact, this is the perfect opportunity for you!

What you'll be doing
Apply cutting edge solutions while leveraging our vast amounts of data
Develop on-line and scalable models and tools using machine learning, deep learning and NLP techniques
Take on projects end-to-end from business question all the way to production
Work alongside machine learning experts, big data engineers, product managers and developers from across the organization to solve complex problems

We're revolutionizing how fans receive and interact with live sports updates and data. Our platform combines the intensity of live sports with cutting-edge technology to deliver a personalized experience to millions of users worldwide.
About The Role: As a data Science team leader, you will lead our ambitious Machine Learning and AI initiatives. This role involves leading a strong team of data scientists & ML engineers, focusing on impactful and continuous delivery that directly ties Machine Learning models to business outcomes.
Responsibilities:
* Lead the full lifecycle of Machine Learning and AI projects, from ideation through execution, ensuring they align with business objectives.
* Mentoring team members, and establishing best practices and efficient processes.
* Manage a diverse portfolio of machine-learning models, balancing immediate needs with long-term innovative projects to maximize business impact.
* Analyze a wide array of data inputs to identify opportunities that align with company goals, transforming complex business and product challenges into actionable data science initiatives.
* Collaborate with stakeholders across the organization to drive multiple, concurrent projects to successful completion.

We are looking for a Principal Product Manager to join AI Security Innovation Center. In this role, you will lead the creation and launch of products dedicated to securing AI within enterprises. Our AI Security products focus on protecting AI and Machine Learning models, algorithms, and their underlying data. This is a very visible and hands-on PM role dedicated to one of our important areas of innovation and helping to secure our customers most cutting-edge technologies. You will interact with executives, engineering, sales, marketing, peers in product management, and most importantly, customers.

What will you do?
Define and execute the product vision, strategy, and roadmap for our AI Security products
Establish priorities for what features we should build, when we should build them, and why.
Work closely with cross-functional teams to design, develop, and deliver AI/ML-powered solutions that meet customer needs
Conduct market research and analysis to identify trends and opportunities in the AI and cybersecurity industry
Develop and maintain a deep understanding of customer needs and pain points
Collaborate with engineering, research, and data science teams to ensure successful implementation of AI/ML solutions
Manage the release of AI Security products, including capabilities, features, workflows, and pricing and packaging.
Work with sales and marketing teams to develop go-to-market strategies and launch new products
Measure and analyze the success of AI Security products and iterate to improve customer satisfaction and business outcomes
Stay up-to-date with the latest trends and developments in AI/ML and cybersecurity and apply this knowledge to improve our products

We are looking for a talented data Scientist to join our international team and contribute to the development of advanced models in various domains.
This opportunity is a gateway to a world where business work and cutting-edge technology meet, and it's designed for those who want to make an impact, innovate, and lead in the Big Data realm.
Hybrid Model.

We're seeking a passionate hands-on Senior Data Scientist to join our amazing DS group. You will work on exciting and challenging projects from research to production in the fields of recommendations, image processing, Forecasts, and much more.

Do you want to join the party?

RESPONSIBILITIES
Research, design, implement, and improve data models to drive strategic initiatives to achieve the company's business objectives.
Innovate and leverage the companys data to improve the product and enhance the business growth
Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D, and Marketing to lead the development of data products.
Develop production-level code and oversee a complete release to production, including analyzing requirements, testing, monitoring, and measuring results.
Communicate findings to stakeholders and management.

The CTO consists of highly talented teams and individuals overseeing Data-Science, Security Research, Advanced Development, and Architecture across all Threat Prevention products and services - Cloud, Mobile, End-Point, and Network.

Key Responsibilities
As a Data Scientist, you will:
Design and develop novel, cutting-edge AI solutions for challenging problems in the cybersecurity domain. These solutions can potentially deliver game-changing results involving advanced AI and algorithms.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers, and Data-Scientists to develop and deploy machine learning and AI solutions.

Technology with a purpose. At BeeHero, we believe that our highest calling is to leverage the power of technology to solve the important problems that humanity faces today. We are committed to making a positive impact on the world by applying our ideas and vision to create a more effective pollination solution. BeeHero is a data-driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources.

Responsibilities:
We're looking for a dedicated Senior Data Scientist to join our office in Tel Aviv to be a key player in BeeHero's success. On the day-to-day, you will analyze large amounts of information to discover trends and patterns in the beehive regarding hive state, health, nutrition, and much more. You'll be alternating between individual projects and team efforts, and you will: Plan bee-hive and crop-pollination in-field data acquisition Build predictive models and algorithms from this data Develop processes and tools to monitor and analyze model performance and data accuracy. Most importantly, work in an accepting community full of creative, fun-loving individuals such as yourself, and immerse yourself in the enchanted world of honeybees.

We are looking for driven MLSs who enjoy solving problems, who initiate solutions and discussions and who believe that any challenge can be scaled with the right mindset and tools.
Key Job Responsibilities and Duties:
Data pre-processing and analysis: Collaborate with data engineers and machine learning engineers to collect, clean, pre-process, and transform large and wide datasets for model features and data monitoring. Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
Model Building: Utilize the data to design, train and build advanced recommendation models for different disciplines in Booking combining neural networks, LLMs and other SOTA technologies.
Model evaluation and optimization: Conduct detailed model evaluation metrics and validation to ensure accuracy, reliability, and scalability. Optimize model performance by fine-tuning hyper parameters, feature engineering, and applying techniques such as ensemble learning and continuous learning.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts from other teams to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.