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Job Description
Main Objective
Our Mission is to Simplify Life. We are looking to simplify and automate complex decision-making for customer-centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world’s economies and you have the chance to join the revolution. We are trying to solve huge challenges in today’s enterprise that are directly impacting the employee and customer experience. What can we promise you:
● You’ll join a global family of awesome, passionate people that are working together to build a sustainable, scalable ecosystem committed to using logic to create a better experience.
● We want you to help us become better. You will be empowered to drive change and innovate.
● That we will invest in you. We will give you the opportunity to master your domain and drive excellence.
Main Job Responsibilities
As our future AI Lead, your contribution to the mission would be to design and develop intelligent algorithms capable of learning, analyzing, and deciding how to react to or resolve different events. You will have the ability to create machines capable of context-specific reasoning. You will also lead the:
● Development of event and system exception decisioning models based on data extracted from user application interactions, log transactions, network data, third-party data, and other key data sources.
● Application of AI and ML techniques in developing and training fraud detection models, including the application of graph analytics
● Design and development of our future state AI architecture, including the design and implementation of data integration across data analytics infrastructures
● Documentation of hypothesis, mathematical approaches, and findings.
● Development of dashboards and reports to assess decisioning performance, quality control, and governance
Needed Competencies
● Ability to communicate effectively both orally and in writing
● Strong problem solving, troubleshooting, and analytical skills
● Ability to handle multiple conflicting priorities in a professional manner, good planning, and organizing skills
● Ability to effectively articulate and present complex concepts and ideas to IT development teams
● Ability to interact with business users and business stakeholders
● Working in distributed team environments, self-motivated, and self-directed
Skills
Knowledge, Skills, and Abilities
● Must love Math!
● Confident
● Know how’s to work under pressure of deadlines
● Are curious and somewhat educated (formally or informally) about cognition and language
● Graph database and visualization
● Experience with Spark, Hive, and the Hadoop ecosystem
● Strong programming skills in Java and/or Python
● Experience in Machine learning algorithm design and development including Tensor Flow, R, Spark, Spark Client/MLlib, Scikit-learn, MapReduce, Java
● Good understanding of Natural Language Processing (NLP)
● Working independently (within broad guidelines) to design deliver business requirements
● Building Prototypes, Cloud Native Design Principles
● Excellent Conceptualization, Analytical and logical skills
Experience
● Clear communication skills that take into consideration non-technical audience
● Have at least 5+ years of recent experience in Python
● Have at least two years of demonstrable experience in all aspects of the ML lifecycle (processing, training, evaluating, deploying, serving, monitoring), specifically in the NLP domain
● Have at least 3 years of experience working with Graph technology
● Have at least 8+ years of technical experience
● Have at least 2+ years of experience with collaborative software development practices (i.e. source control, issues, milestones, code reviews, etc)
Preferences
● A sense of humor, and calm under pressure
● MSc./PhD in Computer Science, AI, or related field
● Expertise in one or more of the following domains: Natural Language Understanding (NLU) and Natural Language Generation (NLG), Graph Algorithms, Machine Learning.
● Strong background in developing and deploying ML models (participation in Kaggle competitions is a plus)
Travel: Possible, depending on project requirements
Work Schedule: Avertra Local office schedule
Job Details
- Job Location
- Dubai, United Arab Emirates
- Company Industry
- IT Services
- Company Type
- Employer (Private Sector)
- Employment Type
- Full Time Employee
- Monthly Salary Range
- Unspecified
- Number of Vacancies
- 1
Preferred Candidate
- Career Level
- Mid Career
- Degree
- Bachelor’s degree / higher diploma
Education
Computer Science, Engineering, Statistics, Technical Science
