Senior NLP Data Engineer in Amsterdam

Senior NLP Data Engineer - Customer Dialogue Analytics Centre of... ING is looking for a passionate Senior NLP Data Engineer  Think Forward! Our purpose is to empower people to stay a step ahead in life and business. We are...

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Senior NLP Data Engineer - Customer Dialogue Analytics Centre of Expertise

ING is looking for a passionate Senior NLP Data Engineer 

Think Forward! Our purpose is to empower people to stay a step ahead in life and business. We are an industry-recognized strong brand with positive recognition from customers in many countries, strong financial position, omni-channel distribution strategy, and international network. If you want to work at a place with lots of freedom to innovate, where we believe that you can live by the Agile manifesto without jeopardizing the necessary continuity, compliance and QA measures, where we are committed to delivering stable and secure services to end-users, and where we have a 'no-nonsense' getting-things done mentality, please read on! 

Your role & work environment 

ING is currently looking for a Senior NLP Data Engineer to help us in the domain of applied machine learning. By designing and testing practical use-cases for business, you help steer the team in creating value for our customers.

You will be part of a team of will consist of specialists, trained in using existing ML and cloud tools (Google Cloud Platform, AWS, api.ai, Twilio, …). Your first mission will be in the domain of Virtual Assistants, more specifically aimed towards chatbots, callbots, robo advisors and third party platform assistants and also around Speech Analytics solutions.   

Your passion is to work with the latest and greatest technologies that make working with large amounts of data easy, you’re pro-active in keeping yourself up to date and are always searching for new ways to discover new technologies. You also enjoy laying the architectural foundations for the things you’re working on. You combine both thinking of the future and a hands-on, right now attitude. You will work in a team with highly skilled people and enjoy a creative atmosphere where trying things out is encouraged. 

A day in the life of a Senior NLP Data Engineer 

As an Engineer you are the single most important part of the team. Without your work, nothing moves, data sits idle and useless in a DB or even worse: in excel sheets. You are the one combining these sources in real-time, distributed systems to handle large amounts of data loads in no-time. Data scientists, analysts, business users, CEO’s are continuously praising you, thanking you, worshipping you…. 

That’s when you wake up to go to work. After your morning coffee you sit with data scientists to find the best way to get their models to run in production, leading the way in how to aggregate the data and process it efficiently for each model. You talk to the business to ingest new sources, cleaning and preparing the data and writing the code that connect it to your application. After a lunch break with colleagues you think of a new technology you’d like to try out. You start investigating and write it up for the next experimentation day. At the end of the afternoon you finalize some comments colleagues had on your latest blog post or start building your presentation for the next conference you’re presenting at. As an Engineer working for the ING Analytic Unit, you’ll never get bored with many experienced and skilled engineers around you, the freedom to innovate and to not only use open source tooling but also contribute and teach about them. 

What department? 

The Customer Dialogue Analytics Centre of Expertise is a part of the global ING Analytics Unit based in Amsterdam that has the mission to make ING leading in human computer interaction. We do this by combining multiple technologies with Data Science to deliver high value solutions and products for our organization. We work in a fun and creative environment and we’re dedicated to bringing out the best in both our relations and our projects. 

Job description 

Your passion is to work with the latest and greatest technologies in the field of Data Engineering. You will work as an engineer on different projects. Those can be spread in multiple ING countries. Your role will be to help experiment and launch new initiatives and support local teams and their projects within ING. You will bring to life innovative ideas via fast prototypes and successfully scale them across different countries. 

Our Stack 

 Within the Customer Dialogue Analytics Centre of Expertise team we mainly use and experiment with the following technologies and frameworks: 

- Python & Jupiter Notebook

- Analytical platform: 

  • Netezza
  • Hadoop
  • Spark
  • Airflow
  • Cognos 

 

- Micro-services environment: 

  • Java / Scala
  • Kafka
  • Cassandra / Oracle

Do you recognize yourself in this profile: 

Tech skills: 

  • Interest in NLP domain and Familiarity with Google Dialogflow
  • Experience in any programming languages such as Java, Python, Linux shell. Nice to have: JavaScript, HTML & CSS 
  • Knowledge of data manipulation and transformation, e.g. SQL 
  • Exposure to Big Data Ecosystem and hands-on knowledge on hadoop, hive, pig, spark
  • Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD 
  • Bash scripting and Linux systems administration (e.g. Docker, Docker Swarm, Kubernetes)
  • Affinity with Natural Language Processing Techniques (as API, e.g. LUIS, Dialogflow… and as a model e.g. SVM, Logistic Regression, BERT…)
  • Implementing CI/CD pipeline using Gitlab/Jenkins/Artifactory and/or Azure DevOps.
  • Nice to have: affinity with Ansible and K8s 
  • Implementing end-to-end ML products. Affinity with orchestration tools, like ML Flow, Airflow or Luigi, is nice to have.  
  • Excellent communication skills to be able to work with business owners to develop and define key data science questions and to build data sets that answer those questions

Soft skills:

  • Great team player
  • Affinity for working in an Agile environment 
  • Ability to think big and create replicable future-proof components to fasten virtual assistants pipeline building across all ING units
  • Able to design solutions to fit into the ING application landscape, following iNG standards
  • Experience in working in the financial industry, or in master complexity and get things done
  • Affinity with basic GDPR and data privacy principles around data management
  • Able to implement solutions taking into account security, data confidentiality, high availability, data integrity requirements
  • an excellent written and spoken knowledge of English; knowledge of Dutch and/or French is an asset 
  • You can explain/sell your prototypes to non-IT people
  • You work together with non-IT people to create a solution architecture
  • You give technical consultancy during solution design
  • You explain the needs of your solution to other IT teams
  • You guide team members during development be it in NodeJS / front-end as well as back-end

 

What do we offer? 

Working at ING means working in a dynamic and international setting. Individual development of our employees is very important and that is why ING offers excellent courses and programs. You will become a member of the Customer Dialogue Analytics Centre of Expertise team, which is a no-nonsense and high-output data-science team. Diva behavior is not tolerated, neither is underperformance. We only hire people with exceptional talents and capabilities! You will work on the most innovative projects within ING. Also we offer: 

 Fun! 

  • A competitive salary 
  • Working with highly skilled people 
  • Working in an area which is of great importance to the strategy of ING 
  • A relaxed and fun team 
  • An International atmosphere 
  • A full time position (40 hour week) 
  • Great training and education opportunities 
  •  We are looking forward to getting to know you!

Extra informatie

Status
Open
Plaats
Amsterdam
Dienstverbanden
Fulltime (ervaren)
Gepubliceerd op
07-09-2020

Amsterdam | ICT / IT / Programmeur | Fulltime (ervaren)

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