Job Description

Reference # : 20-00553Title : Machine Learning/Deep Learning Developer -Investment Bank
Location : Jersey City, NJ
Position Type : Contract
Experience Level : Start Date : 05/08/2020
Description
Our client, a leading global 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
- Bachelor's 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 one's 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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