Coopérative d'innovation et de prototypage

Ericsson•Montreal, QC

10d•Onsite

About The Position

Ericsson is seeking AI Engineers to join our growing team of BCSS Architecture and Technology experts in Montreal. As a team member, you will evolve and optimize our data and data pipeline architecture, as well as optimize data flow and collection for cross-functional teams. You are an expert data pipeline builder and data specialist who enjoys optimizing data systems and evolving them. You will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data and model operations architecture is consistent throughout ongoing projects. You are self-directed and comfortable supporting the data operations needs of multiple teams, systems, and products.

Requirements

Bachelor's, Master's, or PhD degree in Computer Science, Informatics, Information Systems, or another related field
Telecommunications knowledge (radio and core networks) mandatory
Experience using big data tools such as Hadoop, Spark, and Kafka
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with data and model pipeline and workflow management tools: Azkaban, Luigi, Airflow, Dataiku
Experience with stream-processing systems: Storm, Spark-Streaming
Experience with object-oriented scripting languages: Python, Java, C++, Scala, Golang, Erlang
Advanced SQL knowledge and experience working with relational databases and query authoring
Experience building and optimizing big data pipelines, architectures, and data sets
Strong analytic skills related to working with unstructured datasets
Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
Working knowledge of message queuing, stream processing, and highly scalable big data stores
Strong project management and interpersonal skills
Experience supporting and working with cross-functional teams in a dynamic environment
2.7+ GPA or equivalent
Actively enrolled in an accredited undergraduate, master’s, or PhD on a full-time basis at a four-year college or university at the time of the co-op/internship
Be available to work 40 hours per week
Bilingual French and English is required for this position

Responsibilities

Create and maintain optimal data and model operations pipeline architecture
Assemble large, complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based technologies
Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs
Keep data separated and secure across national boundaries through multiple data centers
Create tool-chains for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems
Support data operations competence build-up in Ericsson Businesses and Customer Serving Units