Position: DevOps Engineer - Apache SOLR
Company: Luxoft
Experience required: 3y
English level: upper

Excelian's 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 Data Scientists into our Abu Dhabi and Dubai practices.
You will be conducting analysis, design and development of AI and Machine Learning prototypes, and POCs, and assisting to deploy these into Production. You will be working with some of the leading organizations in the region, and collaborating with other teams in our practice.
We are interested in hearing from individuals with a strong AI & ML background. Deep Learning and NLP, and associated techniques are of particular interest.

Current projects include (among others):
- NLP, semantic search and information extraction on a large corpus
- Analysis and development of predictive analytics for trading in certain markets
- Revenue prediction
- Fraud / anomaly detection

Responsibilities:
You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics and data science to:
- Analyse, design and develop search capabilities based on Apache SOLR
- Identify and analyse data sources, whether internally or for clients, and perform feature engineering for integration

- You will assist the practice in:
- Developing practice thought leadership materials 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

Mandatory Skills:
- Apache SOLR 4.x with Autosuggestion/autocomplete plug-ins
- Experience in SOLR integration with FileNet or other cloud solutions
- Solid engineering and scripting skills in one or more of Python
- Strong analytical, communication and presentation skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams.
- At least two years of experience in DevOps, in particular in designing, developing and validating automation tools
- Degree in Computer Science, or equivalent experience

Nice-to-Have Skills:
- Experience in one or more platform, eg Dataiku, DataRobot, H20.ai, Knime etc.
- Post-graduate degree in Mathematics, Statistics, Engineering, Computer Science, Computational Statistics, Physics, Operations Research or other similar quantitative field
- Experience in projects involving cross-functional teams