דרושים » מדעים מדוייקים » Data Scientist

We are looking for Data Scientist (Hybrid Mode) to our Team in Tel Aviv
Are you a visionary Data Scientist passionate about leading cutting-edge research and implementing innovative solutions in a production environment? If you have a proven track record of developing algorithms in a fast-paced environment, a knack for NLP, and the ability to inspire your colleagues, we want to hear from you!
Responsibilities:
Lead and conduct advanced data science research, focusing on automatic knowledge-based understanding, entity recognition, and NLP models like state-of-the-art transformers.
Collaborate with a multi-disciplinary team of researchers, data engineers, software developers, product specialists, and researchers to solve complex problems.
Take ownership of major building blocks of the world's first multi-dimensional people-skills-jobs AI product.
Lead selected initiatives, and take ownership of the end-to-end agile process, from ideation to production-grade implementation, constantly improving the companys products.
Work closely with stakeholders to understand business requirements and translate them into actionable data science projects.

We are looking for a highly motivated and experienced Principal Data Scientist to join our team! The Education Insights team in our Education builds and operates experiences to empower and delight learners and educators for the betterment of education of millions of users worldwide.

The successful candidate will have strong engineering capabilities with high Python proficiency and a deep understanding and experience in machine learning and AI. You will work closely with cross-functional teams to create cutting edge LLM-based experiences, make decisions using data and be responsible for developing innovative solutions that drive towards the future of AI in education. We are looking for enthusiastic and creative thinkers and doers to join us in meeting the challenge of shipping AI products that meet the needs of learners in a changing world.

Responsibilities:
Adopt, contribute to, and improve the teams existing technical stack and infrastructure to build differentiated features in the Education space.
Stay up to date with AI technology, advise on how we can adapt and embrace new technologies methodologies and ideas.
Provide hands-on technical work: design, analytics/modeling and fine tuning, dataset development, code reviews, development, quality assurance.
Build relationships with partners within our company (applied) Research Teams to bring innovation to new and existing products.
Foster a culture of inclusivity and disciplined data and software engineering practices to deliver business value, guided by data.
Creating and sustaining an effective team culture is extremely important to us. We value and promote a high trust environment where we work closely and effectively with others.
We emphasize a culture of continuous learning and so having a growth mindset and passion for learning is important. You should expect that your teammates will be invested in helping make you successful and expect the same in return from you. We recognize and celebrate the uniqueness of each person on the team and leverage our diversity to create more inclusive products for our customers.

Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI.

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

Were looking for ML Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Key job responsibilities:
* Collaborate with ML scientist and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges.
* Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production.
* Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder.
* Provide customer and market feedback to Product and Engineering teams to help define product direction.

You will design, develop, and optimize ML model pipelines, and scale our models from research to production.

RESPONSIBILITIES
Building and improving our engineering infrastructure to enable and scale our applied algorithmic research and development. On a day to day, some of your responsibilities will include:

Design, Develop, Test and Maintain ETLs and services for integrating with our customers various data systems.
Design, Develop, Test and Maintain ETLs and services for building our own data processes to accommodate applied research needs as well as production needs.
Finding performance bottlenecks in our data pipelines and our machine learning pipelines and resolving them
Develop end-to-end algorithmic solutions for complex ML problems from research and training models, through design, development, evaluation and optimization.
Develop train and inference engine pipelines in a large scale distributed system.
Transform NLP and data related ML/DL algorithmic approaches into efficient and optimized production-ready solutions.
Design, Implement and Optimize ML/DL and research pipelines to improve algorithms performance.
Transform high-level product requirements into technical requirements
Brainstorm and prototype algorithmic improvements.
Work in an ambiguous environment and collect requirements from different personas in the company (Product, FE, Research, etc.)
Advise and collaborate with researchers on DL software engineering aspects (such as tools and practices).

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with Microsofts most strategic Healthcare and Life Sciences customers who are looking to leverage the latest technologies to address their toughest challenges. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with data scientists, program managers and engineers from your team and our customers teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers toughest challenges.

We are looking for a Data Scientist with expertise in developing statistical techniques to analyze data and find patterns. You will work cross-functionally with several teams including data scientists, engineering crews, product teams, and program management to deploy business solutions for Microsoft clients in the Healthcare and Life Sciences sector.

Globalbit in collaboration with a start-up company dealing in the field of neuroscience and pharmaceuticals which is growing a lot with established projects for the coming years is looking to expand the data science team. We are looking for a senior data Science specializing in algorithms in the field of computer vision and image processing. This is a role well suited to an ambitious professional, looking for the next step in their career. As a Senior Computer Vision Scientist, you will be responsible for:
* Complex, real-world problems with immediate impact on patients lives. You will solve computer vision challenges that can be applied to large scale microscopy imaging.
* You will develop robust object recognition and localization approaches on cloud services to accurately translate biological phenomena into computational readouts.
* You will conduct research, design and production level implementation of disruptive algorithms for semantic segmentation, object detection and classification of 3-dimensional neuron images using Machine Learning and deep learning methods.
* You will be involved in fast prototyping, feasibility studies, specification, and integration of computer vision algorithms into our product components.
* Generating reliable, correct training data with great attention to detail. Identifying and debugging issues in training deep learning models such as overfitting, leakage and label noise.
* You will advance the state-of-the-art in the field, including generating patents and publications in top journals and conferences.


Company:
Genetika+

We are seeking a talented and experienced Data and ML Engineer, youll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

Were looking for a Data scientist Expert to join us
WHAT YOULL DO

Lead an applied research for AI-driven features in the platform
Cover a range of features - from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security
Collaborate with engineering teams to design, build, and maintain production pipelines
Work closely with the Security Research and Product teams to define research goals
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments
Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability