Career Application | Developer – programming and product development

AI VISIONS signs contract with Norsk Vind AS

2021-03-23

AI VISIONS signs contract with Bama

2022-01-19

Published by AI VISIONS on 2021-04-03

Developer – programming and product development

Terms like the Internet of Things, artificial intelligence and big data, might sound like the stuff of science fiction, but together they are driving a fourth industrial revolution — also known as Industry 4.0.So to get the technology build and usable, AI VISIONS are ready to get their hands dirty and we’re looking for you to join in.Together we are building the industrial solutions of tomorrow.

Designing and implementing modern, scalable data pipelines and architectures for our clients leveraging Hadoop, NoSQL, Apache open source and emerging technologies, covering:On-premise and cloud-based deployment patterns
Streaming, micro-batching and right-time use cases
Implemented via Agile and DevOps techniques and approaches
Designing and implementing modern data platforms and architectures that enable multiple use cases and workloads, with innovative approaches to meeting data security and data governance requirements
Hands-on engagement in the full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development till testing, and deployment

You preferably have some of the following qualifications and interest to grow in others (we do not expect you to be an expert in all these):

Building and implementing architecture roadmaps for next generation enterprise data and analytics solutions
Hadoop platforms & distributions: Cloudera, Hortonworks, BigInsights, MapR
Processing frameworks & programming tools: Spark (Scala/Python/Java), Kafka, Flink, MQTT, ROS
Data modelling & data pipeline design and development
APIs & Datatypes: RESTful APIs (including Cortana, Watson, TensorFlow), JSON, XML, unstructured data
Machine Learning tools, interfaces & libraries: R, R-Studio, Spark R, sparklyr, MLlib, H2O etc.
NoSQL: HBase, Cassandra, MongoDB, CouchDB, Memcached, DynamoDB, Druid, BigTable, Cosmos
Search: SOLR, ElasticSearch
Enterprise data integration, BI and analytics platforms: Informatica, Talend, InfoSphere, SAS, RevoR, Power BI, Qlik, Tableau, Spotfire, D3.js
Agile and DevOps delivery practices with continuous integration, automated code reviews and regression testing using tools such as Atlassian Jira, Confluence, Cloudbees Jenkins, Selenium Grid, SonarQube and Docker
Hardware: Arduino, Raspberry pi, LoPy4, Jetson Nano

Please note that we do not expect you to have experience across all the technologies above. The list shows examples of relevant technologies and tools, and we are looking for candidates with experience from some of these.

AI VISIONS

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