Head of AI Engineering

Responsibilities

• Recruit a world-class AI / ML team, from sourcing to closing.
• Establish high technical standards, through processes and culture leadership.
• Mentor and coach engineers to help them grow.
• Participate in client meetings with Tender Sales Managers and domain experts.
• Help develop a multi-year AI / ML vision differentiating Cube RM from competition and delivering WOW! experiences to Cube RM clients.
• This is a hands-on role and you are expected to code on a daily basis, review data, participate in code reviews, while leading the team as the “player-coach.
• Identify, prioritize, and execute tasks within the software development life cycle.
• Participate in standups, sprint planning sessions, retrospectives and push for agile best practices with AI / ML team and for Cube RM at large.
• Develop algorithms for NLP and Information Extraction, Pricing Simulation.
• Design AI / ML Platform and APIs to be consumed by other teams.
• Evaluate algorithms using a variety of metrics, identify edge cases, directly measure technical performance and indirectly business impact on Cube RM and its clients.
• Ensure software is up to date with latest technologies.
• Collaborate cross-functionally with PMs, Software Engineering, Design, Sales, Marketing.

Requirements

• Master degree, with approx. 5+ years of experience, working in a company with high-output engineering culture.
• Approx. 2+ years of experience managing AI / ML teams and collaborating across the organization.
• Experience managing distributed teams is a plus, as well.
• Broad knowledge of AI / ML and overall 5+ years of experience with AI / ML, including but not limited to ML model training, evaluation metrics for classification, regression, ranking.
• Experience building NLP and Information Extraction models (IR and NER), Pricing models, A/B testing, Web Crawling as original research prototypes or for production.
• Experience in Deep Learning is a plus.
• Proficient in Python.
• Working knowledge of cloud computing, databases and search engines, e.g. indexing, ranking, caching. We use MSSQL / Azure SQL as the primary DB and Azure cloud.
• Practical knowledge of pattern-based approaches for NLP, e.g. regular expressions, pattern-relation duality principle, frequent pattern mining, sequential pattern mining.
• Experience packaging AI / ML models into Docker containers, developing API wrappers for training and inference.
• Experience developing and debugging crowdsourcing pipelines is a plus.
• Fluency in English.
• Adaptability in high demanding environments and team spirit.
• Ability to work creatively and analytically in a problem-solving environment.

Benefits

By joining, you will:

• Receive a competitive compensation and benefits' package (e.g. Eat Card, Medical-Life Insurance).
• Enjoy several "work-office" perks, at a friendly working environment (e.g. Advanced work / IT equipment, Welcome package, Remote allowance, Relocation package).
• Have a flexible work schedule (working remotely and / or in the office).
• Receive training and support, so you'll never feel left on your own (e.g. e-learning options and subsidized certifications).
• Gain exposure to cutting-edge technologies and software / product development methodologies.
• Be part of several tech communities, as we support/participate into several meet-ups, both local and international.
• Gain exposure to an international environment of leading multinational companies, in a variety of industries.
• Have the opportunity to learn and grow within a dynamic, fast developing company.