לוח משרות דרושים NLP/Machine Learning

Develop actionable insights from analysis to make recommendations on key strategic initiatives such as Digital Transformation and Healthscan
Develop visual and interactive dashboards that provide insights and track progress on key strategic initiatives
Analyze critical business process data, and trends leveraging data from dashboards and other internal data sources to analyze process data and generate reports and insights on findings
Create, deliver and analyze key metrics using dashboards
Learn and become and SME using our internal analytics tool (Performance Analytics)

As a Principal Security Engineer, youll be responsible for helping secure leading edge generative AI product capabilities. You will work with internal AI/ML development teams to perform dynamic and static application security reviews of AI Systems throughout the MLOps lifecycle. In this role youll be responsible for identifying vulnerabilities, assisting with remediation planning and providing development security support. A key part of this position is understanding, discovering and documenting vulnerabilities in proprietary AI/ML systems which use technologies such as large language models (LLMs).

What you get to do in this role:

Conduct security testing and vulnerability assessments for AI systems, particularly those utilizing large language models (LLMs).
Develop and implement security benchmarks and evaluation protocols for LLMs.
Identify and mitigate potential security threats and vulnerabilities in AI systems.
Collaborate with AI developers to integrate security measures into the development lifecycle.
Stay updated on the latest AI security trends and technologies.
Provide detailed reports and recommendations based on security evaluations

A Huawei Research Center in Israel focusing on research and development of innovative concepts and future technologies in the fields of Communication, Artificial Intelligence and others. The technical teams include lead industry experts in various fields.
Artificial Intelligence group at is responsible for conducting state of the art research and algorithms development in the areas of Machine/Deep Learning (ML/DL), Computer Vision (CV), Optimization, and Information Theory.

We are looking for outstanding researchers with PhD in Electrical Engineering, Computer Science, or Mathematics, with a background in (either) ML, CV, Robotics, and desirably, hands on Deep Learning experience. The successful candidate will join a team of scientists and participate in rewarding scientific research to develop novel theoretical methods and algorithms, and to publish it in scientific journals and conference proceedings.
The position involves generation of novel ideas in the above fields, invention and design of new methods to advance state-of-art. Proven academic record is a must.

We are looking for a NLP Research Engineer to join our growing Research team. In this role, you will work on core business challenges, tackling tough and diverse algorithmic problems using the latest NLP research.

As the NLP Research Engineer, you will:

Research complex problems related to state-of-the-art NLP, GNNs, and Tabular data.
Implement algorithms and train models to solve problems at the core of product.
Integrate your work into existing product while demonstrating its value.

We are looking for an experienced and passionate Team Leader to lead our Deep Learning team. In this role, you will be responsible for leading the developing and delivering high-impact ML projects. You will work closely with stakeholders to identify and prioritize business problems, and develop and execute data science solutions.
Responsibilities
Lead and manage a team of ML researchers
Work with stakeholders to identify and prioritize business problems
Develop and execute DL solutions
Ensure that ML projects are delivered on time and within budget
Work closely with the Principal Researchers to plan the research roadmap
Collaborate with product and engineering teams to integrate ML solutions into our platform
Stay up-to-date with the latest advancements in ML research and development.

We are looking for a Senior Python Developer with deep expertise in Python programming, event-driven architectures and large-scale data processing to lead one of the company's most important areas.

Role and responsibilities
You will lead design and optimize cloud-native applications, build high-performance data pipelines, and develop scalable solutions on AWS. Work with machine learning (ML) workflows, including LLM (Large Language Models) integration.

As a machine learning research engineer at our CTO office, you will:

Conduct long-term open-ended research that enhances and expands deep reinforcement learning technology.
Solve unique challenges arising from the field, leveraging core technology to develop and deploy tailored solutions to clients.

We are looking for a passionate and experienced Machine Learning Research Engineer with a deep curiosity for understanding systems and a relentless drive to innovate. This role is perfect for a self-starter who thrives on tackling complex problems, exploring new ideas, and pushing boundaries. We want someone who doesnt just solve given tasks but proactively envisions and develops new applications, challenges the status quo, and enhances models and methodologies to deliver cutting-edge solutions.

As a Machine Learning Engineer in our algo R&D, you will:

Conduct cutting-edge research to develop new functionalities for our models, expanding core deep reinforcement learning technology.
Advance the development of AutoML solutions to streamline and enhance machine learning workflows.
Drive the productization of your research, transforming innovative concepts into impactful, production-ready solutions.
Design and implement solutions with a focus on scalability, efficient runtime performance, and seamless deployment in production environments.

Were searching for a passionate and experienced hands-on AI Architect to join our team.

With a wide array of responsibilities and corresponding impact, youll help spearhead our product offering and wear multiple hats at a fast-growing, dynamic, early-stage company.

Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Coach teams on best practices for datasets and building data sets.
Build applicative AI in production on a large scale.
Build solutions for different mediums including voice products with minimal latency and high accuracy.
Build an internal tool system to allow scientific evaluation.
Implement and lead new AI strategies by designing and implementing complex functionality and/or integrating with 3rd parties.
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry but also push the envelope to new heights.

Were seeking a passionate Senior Data Scientist to join our AI team. With a wide array of responsibilities and corresponding impact, youll help spearhead our new product offering and the world-class AI conversation product impacting millions of patients.

Responsibilities
Design, develop, and drive design processes and products that incorporate Generative AI (LLMs), models and knowledge Retrieval in order to help patients across the US.
Design and define data pipelines and evaluation pipelines.
Build applicative AI in production on a large scale.
Build solutions for different mediums, including voice products with minimal latency and high accuracy.
Provide a scientific evaluation of the quality of our models..
Continuously improve our existing NLP capabilities to help patients across the US answer any question, schedule appointments with their doctor, refill their prescriptions, and much more.
Use best practices and SOTA from the AI industry, but also push the envelope to new heights.

We are seeking a skilled AI/ML engineer with strong software development skills to join our dynamic team.
The ideal candidate will have experience in model evaluation, improvement, and analysis, as well as hands-on experience with AI and GENAI technologies. Knowledge of AWS and GPU computing is an advantage. Experience with RAG-based projects and vision language models is a significant advantage.
Key Responsibilities:
Evaluate and improve machine learning models.
Perform statistical analysis and interpret model results.
Develop and implement AI models using Python.
Utilize AWS services for model deployment and management - advantage.
Leverage GPU computing for accelerated model training and inference - advantage.
Collaborate with cross-functional teams to integrate AI solutions into products.
Stay updated with the latest advancements in AI and machine learning.

We are seeking a hands-on Tech Lead to be the first technical hire for our newly formed ML team. This is a unique ground-floor opportunity to build something from scratch and have direct influence on the technical direction of our ML capabilities. This role combines deep technical expertise with foundational leadership, requiring someone who can architect solutions, establish technical standards, and lay the groundwork for future team growth. As our founding ML tech lead, you'll have the opportunity to shape our technology choices, define our technical practices, and build the fundamental skill set that will guide the team as we scale.

What youll do: 
Shape the technical foundation: As our first ML hands on hire, choose and establish the team's core technology stack, frameworks, and development practices together with the ML leader.
Build from the ground up: Design and implement our initial ML infrastructure, data pipelines, and model deployment frameworks.
Define technical standards: Establish coding standards, best practices, and processes that will guide future team members.
Hands-on development: Lead by example through direct development and deployment of ML models and data science solutions.
Partner with stakeholders: Work closely with business teams to identify initial ML opportunities and build foundational proof-of-concept models.
Establish MLOps practices: Set up our model development, testing, deployment, and monitoring workflows from scratch.
Recruit and onboard: As the team grows, play a key role in technical interviews and help onboard new ML engineers and data scientists.
Create team culture: Help establish the team's technical culture, learning practices, and collaboration methods.
Technology evaluation: Research and select the tools, platforms, and technologies that will form our ML tech stack.
Document and share knowledge: Create foundational documentation and knowledge-sharing practices for the growing team.

Location: Tel Aviv, Israel.

Hybrid.

Full-time.

We are seeking a dynamic Data Scientist with a strong data science experience and flair for AI Pre Sales to join our team. This hybrid role combines technical expertise in AI and data science with the ability to identify, pitch, and present AI/ML solutions for our clients. The ideal candidate is an accomplished data scientist who can design and execute AI/ML models to meet complex client needs while able to demonstrate and clearly explain business benefits and practical implementations to customers.
Key Responsibilities:
Data Science and Technical Consulting (Primary Focus)
Data Analysis & Insights: Perform advanced data analysis on structured and unstructured datasets to generate actionable business insights.
Model Development & Validation: Design, develop, and validate machine learning models and algorithms tailored to client use cases.
Proof-of-Concept (PoC) Development: Lead the creation of AI/ML PoCs to demonstrate the feasibility and impact of proposed solutions.
Advanced Analytics Advisory: Provide expert guidance on applying predictive analytics, natural language processing (NLP), computer vision, and other AI techniques to solve complex business challenges.
Solution Integration: Assist clients in seamlessly integrating AI/ML solutions into their workflows, ensuring measurable impact and ROI.
Model Optimization: Continuously fine-tune and optimize deployed models to ensure scalability, performance, and accuracy over time.
Technical Innovation: Stay ahead of AI/ML trends, tools, and frameworks, and proactively suggest innovative approaches to enhance client outcomes.
Business Translation of AI/ML: Serve as a bridge between technical teams and business stakeholders, translating AI/ML solutions into clear, actionable business terms.
Sales Support (Secondary Focus)
Lead client discussions to uncover pain points and articulate AI/ML-driven solutions with measurable business value.
Create and deliver compelling presentations, proposals, and technical demonstrations to prospective clients.
Collaborate with internal teams to align client requirements with technical capabilities.
Drive end-to-end pre sales cycles, including requirement understanding, product / solution customization, business oriented demo flows and stories preparation, presentations to technical and business stakeholders.

You will be responsible for defining the system solution for NN-based image signal processing algorithms.
In your role, you will be tasked with designing an ISP solution that leverages NN to replace classic ISP algorithms and taking the solution from the POC stage to production. You will scope the existing landscape of literature and select solutions which are appropriate for running on our companys embedded HW, perform proof-of-concept, define system KPIs, and finally carry the solution to product grade level and deployment on our companys Vision-Processor.
Responsibilities
Domain expert in the field of neural network image enhancement for video cameras.
Work with the product team to translate high-level product functions to system building blocks and drive R&D efforts to implement them.
Implement proof-of-concept projects, taking ideas from papers and public reports and showing product fit.
Technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand the various disciplines in a detailed manner and to be both a technical and project focal point for all aspects of the project.