Citi is more than a global financial services company. It's an engine for progress. We serve 200 million customers in more than 160 countries, providing support to individual, corporate, government and institutional clients. Our clients choose us for a global footprint, market positon, in-country relationships and the full range of solutions on offer. In Poland we operate within two legal entities Citibank Europe plc and Bank Handlowy w Warszawie S.A.
Lead Innovation Developer
Work place: Warszawa
Key Responsibilities
- Working in a small innovation team, mostly within the domain of Machine/Deep Learning, Artificial Intelligence, Distributed Computing:
- Experiment/design/develop solutions using new/emerging technologies.
- Consult on architecture and design, bootstrap, and/or implement strategic projects for Citi Private Bank.
- Architect, implement, and/or validate integrations with 3rd party applications.
- Help implement and deploy key projects and products for Citi Private Bank.
Knowledge/Experience
- 5-8 years of professional experience
Required skills:
- Programming experience in one or more application or systems languages: Haskell, Scala, C/C++, Java, Python, R etc.
- Background in functional programming, preferably Haskell or Scala.
- Distributed Systems Design experience, including understanding of distributed systems concepts and principles.
- Strong understanding of Relational Database concepts, including performance optimization.
- Open minded and willing to learn new languages/methodologies/concepts.
- Experience working with business partners and engineers to gather, understand and bridge definitions and requirements.
- A commitment to writing understandable, maintainable, and reusable software.
- An innate desire to deliver and a strong sense of accountability for one's work.
- Enormous sense of ownership.
The following skills are considered a plus:
- Haskell experience, at least intermediate, would be a huge plus.
- Background in Machine Learning/Deep Learning areas.
- Experience working with Apache Spark Ecosystem of Tools (Spark/Hadoop/Hive).
- Experience with stream processing software, preferably Apache Kafka.
- Familiarity with DC/OS, Apache Mesos, Kubernetes, OpenShift or Docker.
- Experience building data pipelines, from ingestion to delivery (Data Warehousing, Search, Real-time Dashboarding).
- Strong understanding of different storage architectures and their appropriate application.
- Experience working with NoSQL databases.
Qualifications:
- Bachelor’s degree (in science, computers, information technology or engineering).
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