At AbstractAI our mission is to help businesses get the most useful insights of their data. Our experience is spread over many projects in a wide variety of fields, such as Computer Vision, Natural Language Processing, Finance, Anomalies and more. Extensive hands-on experience combined with the ability to work in challenging, fast-paced and high-stress environments, gives AbstractAI the ability to execute their customers’ vision and strategy.

Professional and personal management of highly talented Data Science team (10 people).Setting advanced development methodologies for Machine and Deep Learning modelsTechnological architecture characterisation suitable for AI models development.Establishing comprehensive CICD process that seeks to support end-to-end development pipeline of AI models.Comparison of professional tools designed for various entities involved in the development process. Employees development path designation through external and internal trainings. Recruiting employees for team expansion, and developing long-term retention programs using personal empowerment methods.Use of cutting-edge technologies, such as Python, R, Hadoop, Elastic Search, Oracle, Docker, Git, Jira, Jenkins, etc.

Direct team management of highly qualified Data Scientists (5 people). Professional guidance of several teams in various AI areas (about 20 people). Establishing development methodology for Machine and Deep Learning models. Formulation and Institutionalization of CICD process to create a comprehensive pipeline responsible for end-to-end management and transfer of AI projects (from development to production).Examination of professional tools designed for the Data Scientist, as well as the function of related entities (e.g., data engineers, tagging team, etc).Generating professional training for relevant employees in a variety of fields. Recruiting employees for the various teams, and developing long-term staff retention methods.Lateral mapping of problems in the area of Artificial Intelligence, and providing comprehensive solutions that take specific team needs into account.Use of cutting-edge technologies, such as Python, R, Hadoop, Elastic Search, Oracle, Docker, Git, Jira, Jenkins, etc.

Designing and developing predictive statistical models using machine learning algorithms to gain deeper insights regarding financial and marketing interactions. Creating sophisticated recommendation engines using statistical methods to increase company revenues. Building dashboards supporting company decision making process and ongoing product monitoring. Day to day work require use of: R, SQL (Teradata), Tableau and more.

Building statistical and econometrical models in the fields of economics and risk management.Gathering and analyzing economic data from internal and external sources in order to analyze trends, conduct forecasts and more.Writing economic reviews regarding Israeli and international markets, and disseminating them to relevant entities within the bank and the Israeli economyI used to work mainly with R, Eviews and SQL (Teradata)

Building the annual work planPlanning and supervising procurement processesClosing annual contracts vis-à-vis service providersNegotiating vis-à-vis suppliersManaging a budget including ongoing control, conducting periodical forecasts, generating reports for senior management and moreWorking in a computerized environment including SAP, OFFICE (Excel, WORD, etc.)

Classified position