Machine Learning/Deep Learning Developer -Investment Bank

Other jobs >> General

Negotiable

Permanent

Description

financial services company, has approximately 200 million customer accounts and

does business in more than 140 countries. They provide consumers, corporations,

governments and institutions with financial products and services, including

consumer banking and credit, corporate and investment banking, securities

brokerage, transaction services, and wealth management.



Responsibilities



Working in an innovative 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 Major Global Bank.

* Architect, implement, and/or validate integrations with 3rd party

applications.

* Help implement and deploy key projects and products for Major Global

Bank.

Qualifications

* 5-8 years of professional experience

* Bachelors degree (in science, computers, information technology or

engineering).

* 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.

Closure, F#, Ocaml, Erlang, Clojure/Lisp/Scheme are also acceptable.

* 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.

* Commitment to writing understandable, maintainable, and reusable

software.

* Innate desire to deliver and a strong sense of accountability for ones

work.

* Enormous sense of ownership.

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.

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  • 1
  • Negotiable
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  • Re-102050
  • Permanent
  • 8

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