Benefits:

• Equal Pay

• Employee referral rewards

• Wellness benefits

• Flexible work schedules

• Mentoring opportunities

Benefits:

• Flexible working schedule and hybrid model

• Excellent career development opportunities

• Culture of feedback and continuous improvement

• International and diverse team

• Continuous training opportunities

Education Requirements:

• Degree in Linguistics or Computational Linguistics, or a degree computer science with a minor in linguistics

Other Requirements:

• Native speaker of the target language and fluent in English

• Experience in using, adapting and creating scripts in python

• Knowledge of relational databases and using, adapting and creating SQL queries

• Experience in annotation work

• Knowledge of semantics, syntax, morphology or lexicography

• Excellent oral and written communication skills

• Attention to detail and good organizational skills

• Ability to work independently with confidence and little oversight

Responsibilities:

• Annotating and reviewing linguistic data

• Collect data and perform data analysis

• Labeling text for disambiguation

• Evaluating current system outputs, detect incidental and systemic errors and provide solutions

• Translation and localization tasks

Education Requirements:

• Bachelor’s degree in a technical field (Comp. Science degree preferred not mandatory); Master’s degree is a plus 6+ yrs of experience

Experience Requirements:

• 10+ years

Other Requirements:

• Expertise in ETL, Data architecture and Data modelling

• Expertise working in Relational and Big Data platforms, including MySQL, and large-scale distributed systems such as Hadoop and Spark

• Expertise in Data Engineering, Data Governance, Data Quality, Data Lake, Data Warehousing and Reporting/Analytics concepts

• Expertise building Data pipelines, Data Lakes and Data Warehouses in Azure using Cloud services

• Expertise in data analysis and writing and developing complex queries using SQL

Responsibilities:

• To collaborate with various teams/regions in driving facilitating data design, identifying architectural risks and key areas of improvement in data landscape, and developing and refining data models and architecture frameworks

• Technical experience and knowledge in Cloud Data Warehousing, data migration and data transformation

• Develop and test ETL components to high standards of data quality and performance as a hands-on development lead

• Familiarity with Data Lakes, Data Warehouses, MDM, BI, Dashboards, AI, ML

• Design data architecture patterns and ecosystems including data stores (operational systems, data lakes, data warehouses, data marts, cosmos db), ingress patterns (API, streaming, ETL/ELT), and egress patterns (analytics/decision tools, BI tools). Lead, consult or oversee multiple architectural engagements

Education Requirements:

• Bachelor’s degree in Computer Science

• Electronics & Communications Engineering

• Computer Information Systems (CIS)

• Information Technology, or a directly related field

Experience Requirements:

• 4+ years

Other Requirements:

• 3+ years of experience within the SharePoint Development

• Minimum 3 to 4 Years with SharePoint Online or M365

• Should have 2 to 3 Years of experience in Power Platform development i.e., development of PowerApps, Power Automate (MS Flows)

• Experience with various types of SDLC and Agile/Scrum project methodologies

Responsibilities:

• Understanding of Software Development Life Cycle (SDLC) and Agile/Scrum project methodologies and DevOps Tools

• Delivering functional specification documents (FSD), implementation plans and status reports for small to complex client engagements

• Participates in planning and execution of tasks related to the evaluation of new M365/SharePoint based initiatives

• Demonstrates competency/success in the ability to translate customer/business requirements into business solutions and create long term partnerships with customers

• Assigning tasks to Team and Review of their work and helping them to troubleshoot the issues

Education Requirements:

• M.A.

• M.Sc

Experience Requirements:

• At least 8 years of practical experience as a researcher with significant business experience

• At least 5 years of experience managing highly qualified Data Scientists/Analytics professionals

Other Requirements:

• Expertise in a wide range of machine learning/statistical/data analysis and state-of-the-art algorithms & applications

• Experience in working with external data sources, real-time data & processing big data covering both structured and unstructured data

• Practical experience in addressing real-world business problems. (e.g., pricing, product personalization, event detection, etc.)

• Experience building end-to-end analytical solutions in financial services or other relevant industries (e.g., retail, web marketing, cyber, etc.)

• Proficiency in Python and Scala

• Strong technical and technological background with good familiarity with a wide range of ML /AI & Big data tools/solutions/platforms with a particular interest in open-source solutions/tools (e.g., AWS Sagemaker, MLOps tools, etc.)

• Sufficient mathematical background for reading applied academic papers

• Strong verbal & written English communication skills

Responsibilities:

• Lead a team of data scientists and engineers

• Build and grow the Earnix Labs program

• Have an impact on the Earnix products

Experience Requirements:

• 3+ years of strong background in software development using Python and Java as a strong advantage

• Previous experience in a Data science environment

• Background with statistics and optimizations

Other Requirements:

• MLOps as a strong advantage, knowledge and experience deploying machine learning models in production environments

• An understanding of web development concepts

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform – an advantage

• Familiarity with containerization technologies such as Docker and Kubernetes – an advantage

• Experience with data engineering, data pipelines, and data processing – an advantage

Responsibilities:

• Play a key role in taking complex machine learning models and productizing them

Experience Requirements:

• 3 years experience in a System Architect role

• 10 years of software development experience building and designing large-scale multi-tenant systems

Other Requirements:

• Hands-on experience with one of the following: Java / Python / Nodejs - Must

• Proficient with high-load systems and microservice-based architectures - Must

• Experience with cloud providers, particularly AWS or GCP

• Experience with containers and serverless technologies - Must

• Experience with security requirements and implementation

• Fluent in English and Hebrew, both written and verbal

• Ability to work autonomously and as a team player – work with multiple teams in multiple countries

Responsibilities:

• Build the product architecture together with all R&D teams– interfaces, technology stack, deployment flowchart, and architecture process

• Provide technical and methodology guidance to the teams

• Be able to reduce complex problems into manageable pieces, define their interactions and communicate these concepts to all

• Maintain a good cross-relationship

• Understand and have an impact on integration processes

Education Requirements:

• M.Sc.

• PhD

Experience Requirements:

• 3+ years experience in applied research up to production code level in Machine Learning / Deep Learning, focusing on NLP

Other Requirements:

• Good understanding of DNNs and experience with PyTorch / TF / other platforms

• Experience in finetuning and evaluating LLMs - advantage

• Team player with excellent communication skills

• Proficient in Python development

• Self-learner and excited about new domains

Responsibilities:

• Work together with the product team to establish research problem, criteria for success, and convert these into measurable goals and objectives

• Explore existing approaches to research problems as well as develop new ones

• Conduct end-to-end data-driven research and development

Education Requirements:

• PhD

Experience Requirements:

• 5+ years experience of leading teams in speech recognition, computer vision or related deep learning field

Other Requirements:

• Experience with GenAI - an advantage

• Proven track-record in building ML-based systems used in production

• Proven track-record hiring, training, managing and retaining world-class engineers

• Solid engineering background

• Strong organizational and people management skills

• Experience working directly with product to deliver business value

• Excellent interpersonal and communications skills, good-spirited, and fun to work with hungry, driven, owner-like mind frame

Responsibilities:

• Managing the daily activities of our distributed research group

• Running an agile ML technology development and deployment process to deliver value for Verbit’s customers, provide ML-based tools that enable disruptive solutions and improving internal workflow

• Owning the strategic and tactical aspects of our IP development, balancing the short, medium and long term efforts

• Communicating effectively with product and engineering groups in order to work synergistically towards Verbit’s business goals

• Growing the team and hiring excellent machine learning engineers and researchers

Experience Requirements:

• 3+ years in a testing organization/ department with experience in functional, automation, and performance testing

• Experience with an Automated Functional Testing tool like QTP or Rational or Selenium

• Experience in testing UI, web applications and web services

• Ability to lead a call, understand the issue and try to give a workaround for the issue

• Experience in manual/ automation/ performance/ acceptance/ regression testing

Other Requirements:

• Good knowledge of SDLC and a thorough understanding of various testing methodologies

• Be a self-starter, with the ability to work independently in a fast-paced environment

• Ability to analyze application logs

• Experience in reporting bugs, preparing test reports, tracking bugs to closure

• Good understanding of all phases of software testing and quality control

Responsibilities:

• Review system requirements and track quality assurance metrics

• Implement tests, debug, and define corrective actions

• Understand customer’s project and implement the same scenario using the Appvance platform

• Architect and design complex testing scripts in a short time frame

• Document new processes and keep existing documents updated

Benefits:

• Competitive salary packages

• Comprehensive medical, dental, and vision insurance for employees and dependents

• Generous PTO

Education Requirements:

• BS in computer science, or related degree

Experience Requirements:

• 5+ years of experience

• Experience working in fields like recommendation systems, natural language processing, LLMs, applied machine learning, large scale production search/ranking system or other related systems

Other Requirements:

• Strong analytical skills and ability to work with data

• Thrive in a customer-focused, tight-knit and cross-functional environment – being a team player and willing to take on whatever is most impactful for the company is a must

• A proactive and positive attitude to lead, learn, troubleshoot and take ownership of both small tasks and large features

• Proven ability to design and build complex search/ranking/recommendation or other related systems

• Strong coding skills in Python

Responsibilities:

• Build and grow various features of our search stack like search ranking models, query parsing/understanding, natural language question answering, etc.

• Deeply understand search usage and user needs and identify gaps in the search stack

• Design, experiment with, and iterate on ML/NLP/ Information retrieval solutions to address gaps in the search stack

• Design and evolve experimentation framework to help evaluate improvements the search stack

• Write robust code that’s easy to read, maintain and test

Benefits:

• Competitive salary packages

• Comprehensive medical, dental, and vision insurance for employees and dependents

• Generous PTO

Education Requirements:

• MS or BS in Computer Science or a related subject

Experience Requirements:

• At least five (5+) years of web application testing and automation experience

Other Requirements:

• Proficiency in Java/ Python or any other Object-Oriented Language

• Experience of Selenium & WebServices or REST API testing or backend testing

• Ability to design and develop test automation frameworks from scratch

• Experience in CI/ CD setup preferably with Jenkin

• Good analytical and problem-solving skills

• Expert in methodically developing use-cases-

• Expert at writing automation test cases using Selenium

• Expert at testing the web application for both functionality and performance

• Understands what world-class quality for SAAS Products

• Expert at communicating the QA results with the engineering teams

• Expert at increasing visibility for blocker/critical issues

Responsibilities:

• Taking complete ownership of product testing efforts

Benefits:

• Competitive salary packages

• Comprehensive medical, dental, and vision insurance for employees and dependents

• Generous PTO

Experience Requirements:

• 6+ years of experience strong programming experience in JavaScript, HTML/CSS

• At least 2 years of experience using NodeJS framework with good understanding of the underlying architecture

• Experience of using Git and optionally other version control systems

• Experience of deploying web applications on Linux servers in production environment

• Familiarity with deployment and CI/CD tools

Other Requirements:

• Experience of creating and consuming REST APIs and SOAP services

• Strong knowledge and awareness of Web Technologies and current web trends

• Working knowledge of Security in Web applications and services

• Excellent communication skills

• At least 2 years of experience in a role that involves close client interaction in the current position

• Full stack experience UI and UX design experience or insights

• Working knowledge of AI, ML and NLP

• Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.

• Experience of building Single Sign On in web/mobile applications

• Ability to learn latest technologies and handle small engineering teams

Responsibilities:

• Independent team member for analyzing requirements, designing, coding, and implementing Avaamo’s Conversation AI products

• As an Avaamo product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution

• Drive solution implementation using the Conversational design approach

• Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements

• Conduct training and technical guidance sessions for partner and customer development teams

Benefits:

• Competitive salary packages

• Comprehensive medical, dental, and vision insurance for employees and dependents

• Generous PTO

Experience Requirements:

• Experience creating, testing, and analyzing prototypes for voice/text interactions

• Ability to work both independently and collaboratively

Other Requirements:

• Portfolio featuring examples of speech and interaction work

• Excellent written and verbal communication skills. Ability to read, write and interpret business and technical documents. Create and present documentation, findings and points of view material

• Aptitude to be flexible and proactive within a fast-paced, deadline-driven environment

• Strong visual design skills and working knowledge of design applications (photoshop, illustrator) a plus

• Work Hours: Ability to work a flexible schedule based on department and company needs

Responsibilities:

• Define and synthesize customer/user requirements

• Create conversation trees (conversational wireframes), covering as much real-life conversational aspects as possible

• Work closely with UX design counterparts to improve overall experience with clear, compelling content

• Contribute to evolution and success of product keeping the customer front and center

• Partner with engineers and designers, overseeing the implementation of the user experience