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Machine Learning Developer, Abu Dhabi

Keywords / Skills : Machine Learning Developer, Abu Dhabi

Posted: 2019-12-03

Software Engineer/ Programmer
Posted On
3rd Dec 2019
Job Ref code
Job Description

Project Description

Artificial Intelligence and Machine Learning (AI & ML) is revolutionising large parts of the financial services industry..
Excelians Digital Consulting team is investing in these technologies, and is actively building up a new AI, ML and Analytics Practice across a number of regions. In particular, we are therefore looking to hire a Machine Learning Developer into our Abu Dhabi and Dubai practices.
You will work with Data Scientists in developing AI and Machine Learning prototypes and POCs, and taking the lead in making these Production-ready, developing the Production environment, integrating with existing applications, and deploying models into Production. You will be working with leading organizations in the region, and collaborating with other teams in our practice.
We are interested in hearing from individuals with a strong development background especially Python development but who also have a keen interest in AI & ML, and preferably some background in the Mathematical Sciences.

Current projects include (among others):
- NLP, semantic search and information extraction on a large corpus, coupled with an enterprise platform
- Analysis and development of predictive analytics for trading in certain markets
- Revenue prediction models and integration into prediction syste,s
Fraud / anomaly detection


You will work alongside a strong, global team of individuals with diverse backgrounds and skills in a variety of areas to:
- Develop AI & ML prototypes and proof of concepts
- Integrate data sources, via different integration channels
- Take the lead in productionising analytic libraries, and integrating the models into the relevant production systems.
- Build and integrate analytical data models on ML platforms
You will assist the practice in:
- Developing templates and accelerators, across a variety of libraries and platforms.
- Participating in pre-sales work and client work as necessary
- Discovering and verifying opportunities for new business Helping to structure work, planning new analyses, translating business questions into analytical projects
You will collaborate with business and technology partners to grow and develop the data science practice


Strong development skills, preferably in Python. Other languages might be considered.
Some knowledge of, or exposure to Machine Learning techniques and practices
Exposure to the full Software Development Life Cycle, and experience of working in a modern development team
Good analytical skills
Strong communication skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams

Required experience:
Degree in Computer Science, or equivalent experience or background in one of the other Mathematical Sciences, eg Mathematics, Statistics, Engineering, Physics, or other similar quantitative field
At least two years of software development experience
Nice to have
Strong background in analytics, and/or Machine-learning-as-a-service.
Experience in visualization tools such as Qlik, Tableau, PowerBI or similar.
Good understanding of integration patterns
Experience in webapp development.
Arabic speaker

Nice-to-have experience:
Experience with / exposure to software development for analytic applications
Experience in big data
Experience in projects involving cross-functional teams

  • English: Advanced/Fluent

About Company

Luxoft, a DXC Technology Company, (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Luxoft uses technology to enable business transformation, enhance customer experiences, and boost operational efficiency through its strategy, consulting, and engineering services. Luxoft combines a unique blend of engineering excellence and deep industry expertise, specializing in automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications. For more information, please visit
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