Key Responsibilities

Working in an innovative team, mostly within the domain of Machine/Deep Learning, Artificial Intelligence, Distributed Computing:

Develop prototypes and real-world applications and improve the performance with various technologies
Integrate the resulting system/software into existing platforms with high quality.
Consult on architecture and design, bootstrap, and/or implement key projects for our client.
Architect, implement, and/or validate integrations with 3rd party applications.

Qualifications

2-3 years of professional experience.
Bachelor’s degree (in science, computers, information technology or engineering).
Excellent communication and collaboration skills in English.
Programming experience in one or more application or systems languages: Java, Python, Haskell, Scala, C/C++, R etc.
Background in natural language processing, machine learning and related fields
Background in information extraction and text mining technologies
Knowledge of classical NLP approaches as well as novel Deep Learning methods
Distributed Systems Design experience, clear understanding of distributed systems concepts and principles. ===> *[Example of such systems: Mesos, Hadoop, Spark, Cassandra]*
Strong understanding of Database concepts and performance related optimization. ===> *[Familiarity with one of: Oracle, DB2, MSSQL Server, PostgreSQL, MariaDB, MySQL, possibly others]*
Strong problem solving skills
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

Background in functional programming: Haskell, Scala, Clojure, F#, OCaml, Erlang, Clojure/Lisp/Scheme.
Haskell experience.
Phyton experience.
Technical expertise building data pipelines.
Background in Machine Learning/Deep Learning projects. ===> *[Examples of framework/technologies: TensorFlow, Keras, SciKit-Learn]*
Experience working with Apache Spark Ecosystem of Tools (Spark/Hadoop/Hive).
Experience with stream processing software, like Apache Kafka. ===> *[May be others: Apache Flink, Apache Beam]*
Familiarity with software development on Kubernetes, OpenShift, Docker. ===> *[ May be others: DC/OS, Apache Mesos]*
Strong understanding of different storage architectures and their appropriate application.