Position: [Data Distribution Platform] Machine Learning Engineer
Company: Luxoft
Category: Other
Experience required: 3y
English level: intermediate

Project Description:
What we are:
- young friendly team
- team open for new challenges
- team where everyone take part in architecture/design development
- team where all good ideas are accepted
- team which likes clean and well documented code
- team where word "refactoring" is frequently used and applied

What we are not:
- old school guys - we are not afraid of moving to new technologies
- the Chuck Norris team - we try to have good test coverage
- try not to say "we can't / it is impossible"

Project Description:
We are working on a First in Class highload platform for distributing reference data across Citi businesses. The ISG Cloud platform is a critical segment of data processing (apache storm, akka cluster, akka stream based modules, MongoDB) and distribution (REST (Spray), WebSockets, Web UI (Angular JS) with high SLA and security (OAuth2) requirements) from source to client. Our focus is to ensure that data delivery is fast, secure, and seamless providing high flexibility between disparate systems and extensive customization of data subscriptions to downstream systems.

Responsibilities:
• Working with large, complex data sets.
• Solving difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conducting end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
• Building and prototyping analysis pipelines iteratively to provide insights at scale.
• Interacting cross-functionally with a wide variety of people and teams to support broader project requirements or client business user questions
• Making business recommendations with effective presentations of findings through visual displays of quantitative information.
• Writing custom code to support the implementation or execution of quantitative models within a targeted execution framework
• Developing algorithms or selecting commonly applied algorithms to solve a specific problem or unlock a hidden data insight
• Participate in technical conversations with leads to establish valuable partnerships so as to design and execute pilots
• Build scalable and robust products and/or services that support our growing business

Mandatory Skills Description:
Preferred candidate will have one or more of the following:
• Practical experience building Chatbots and interactive intelligent agents
• Knowledge of common Artificial Intelligence/Machine Learning techniques
• Experience building web based intelligent self-service applications that help reduce call-center or help-desk volume

Experience:
• 3-5 Years

Technical Skills:
• Solid foundation in data structures, algorithms, OO Design and patterns
• Experience in artificial intelligence, machine learning technology
• Familiarity with Agile Methodologies

Other Competencies:
• A demonstrated ability to process massive amounts of data from a wide variety of sources, detect meaningful patterns and derive a rich set of insights that can be used to improve the quality of the user experience that's offered
• Support product ownership team and other related functions in bringing new concepts to reality
• Ability to develop work plans and execute the same based on the functional requirement/technical solution provided by the Product/Tech lead

Nice-to-Have Skills:
Experience in Bank industry