דרושים » AI » Head Of AI Guild

We are looking for a Director of Innovation to establish and lead our Innovation team. This is an exciting opportunity to build an innovation team within a dynamic and cutting-edge environment! This pivotal role involves managing the Innovation department, nurturing a culture of innovation across the company, and spearheading the development of state-of-the-art cybersecurity solutions. As part of our advanced technology group, you will lead the identification, selection, prototyping and specification of innovative solutions. We expect those solutions to be predominantly driven by but not limited to Artificial Intelligence (ML/LLM).



Main Responsibilities

Developing and executing innovation strategy, in alignment with the company strategy.
Fostering a culture of innovation and developing appropriate innovation processes, including a supporting Innovation Funnel based process.
Building and leading a high-performing Innovation team.
Conducting technology market and industry analysis to identify opportunities and threats.
Leading innovation initiatives by identifying new ideas, trends (specifically in technology), products, and services that could improve performance.
Managing related intellectual property including patents and proprietary tools, and develop the IP-base as a key asset.
Identifying and managing risks to innovation operations, including legal and regulatory risks, reputational risks, and financial risks.
Collaborating with other departments , specifically Services, R&D and Marketing to ensure that their activities are aligned with innovation strategy.
Communicating innovation strategy to internal and external stakeholders.
Identifying and, if applicable, partnering with external sources of innovation, such as other innovative companies, research institutions and academia, to bring in new ideas and technologies and to stay abreast of the relevant tech innovation ecosystem.

As an AI Solution Engineer, you will play a critical role in ensuring our AI solutions optimal performance, reliability, and continuous improvement. You will be responsible for monitoring the performance of AI models, detecting data drift, deploying AI modules, designing customized solutions, investigating issues, and developing tools to support data analysis. This role requires expertise in data science, system engineering, analytics, statistical analysis,product and clinical understanding, and proficiency in Python and SQL. The ideal candidate holds a relevant degree, with a master's degree being an advantage, and possesses hands-on experience managing AI solutions in an operational production environment.

Responsibilities
Deploying AI modules to production:

Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
Deploy, configure, and implement hundreds of AI modules yearly using our orchestration mechanisms.
Design scalable deployment methodologies for new AI products
Address complex challenges associated with data in operational production environments, such as data quality, availability, and integration.
Collaborate with different stakeholders across the organization to make sure production requirements are addressed when new modules and products are developed.
Maintain our AI solutions in top performance:

Become a crucial part of our Ops team and work in a live operational environment, finding real-time solutions to complex problems.
Monitor the performance of AI solutions, ensuring they deliver accurate and reliable results using existing monitors.
Implement mechanisms to monitor and detect data drift to ensure AI models remain effective over time.
Design new monitoring solutions and metrics to address production issues, data drifts, and performance degradation.
Investigate issues raised by our customers and identify root causes, recommend corrective actions, and implement solutions to prevent reoccurrence
Tool Development:

Develop tools and scripts to support data analysts and ensure efficient data processing and analysis.
Visualize data in informative and to the point visualizations.
Automate tasks related to AI deployment, data validation, and reporting.

We are looking for a AI Adoption Director.
In this role, you will be responsible for:
AI Adoption Strategy: Formulate and execute AI adoption strategies aligned with company objectives, identifying integration opportunities.
Change Management: Drive AI adoption across all functions, providing guidance, training and support for employees to leverage AI in their work.
Stakeholder Engagement: Collaborate with cross-functional teams to capture AI needs, and ensure buy-in for resulting initiatives.
Proof of Concept Development: Lead POC projects to validate AI ideas, informing decision-making and prioritization.
Stay on top of industry trends: Stay updated on AI trends and best practices.
Performance Monitoring: Establish metrics to measure AI effectiveness, optimizing outcomes through regular evaluations.
Vendor Management: Evaluate and manage AI technology vendor relationships, ensuring solutions meet business requirements.

Our Research team is growing, and we are looking for a Senior ML Engineer to join the team.
Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.

Lead the data science field within the company.

Build & Refine the company's AI / ML algorithms.

Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection.
Develop and implement advanced algorithms and models to process unstructured documents like PDFs, extracting insights through entity recognition.

Collaborate cross-functionally to translate business needs into actionable data science solutions, conducting thorough data analysis and feature engineering to uncover trends within unstructured data.

Working closely with the company's CTO and architect.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and AI technologies, for solving problems within our Search and matching domain.
As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and ML platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.
You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.
What am I going to do?
Take leading roles in projects around our search & matching engine: ranking, semantic search, user segmentation and personalization, Gen AI within our core mechanisms, real-time predictions, live streaming data utilization for our online models, etc.
Provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of our Data Science AI platform.

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams.

Required MACHINE LEARNING SERVING TEAM LEAD
AS A MACHINE LEARNING SERVING TEAM LEAD , YOU WILL-
Direct a team of ML engineers and Data scientists, known for delivering production-ready solutions.
Collaborate with research teams to architect machine learning and deep learning infrastructure that supports the serving of many AI models, their deployment, and monitoring.
Foster a culture of excellence, data-driven discussions, healthy skepticism, intellectual curiosity, knowledge sharing, and teamwork. Guide the technical learning, professional development, and career progression of your team members, helping us nurture the technology leaders of tomorrow. Uphold high standards for engineering excellence and drive innovation within our AI/ML function.
Discover and assess new technologies to enhance the performance, cost-effectiveness, maintainability, and reliability of our machine learning systems, and the efficiency and effectiveness of our ML models.

Were a company of learn-it-all rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.   
Are you ready to join us and create the future? Come as you are, do what you lovestart your journey with us today.
Data Scientists and AI researchers help to improve the quality and experiences of our devices and services. We are looking for highly motivated and passionate Data Scientists to design and apply rigorous scientific methodology and algorithms to improve devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture.
As an AI expert, you will help push the state-of-the-art in computer vision, Natural language processing (NLP), speech recognition and speech enhancement, using extensive domain- specific knowledge, data, and compute resources. 
As a Data Scientist or an AI researcher intern, you will help formulate approaches to solve problems using various algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve. 
You will develop real-world machine learning and deep learning algorithms in the domains of computer vision, natural language processing, recommender systems, and more. 
You will increase productivity of ongoing research projects and help to productize them, publish research papers in top-tier machine learning venues and issue patents.
You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.