About this opportunity:
Join our dynamic team at Ericsson as a Solution Architect. In this pivotal role, you will be tasked with analyzing, designing, and developing commercially viable technical solutions in your respective technical domain. These solutions will be based on customer specifications and business needs. As Solution Architect, you will be responsible for creating both short- and long-term profitable business strategies for Ericsson. This will be accomplished by working closely with the Core 3 team to translate customer needs and technology opportunities into detailed technical offerings, solutions, and proposals.
What you will do:
Drives end-to-end technical solutions
Scopes, defines and designs solutions
Transfers knowledge and drives re-use
Transform strategy into capabilities
Manage strategy execution
Manage solution roadmap
Develop and test solution components
Design & lead solution development
Solution maintenance & support
Perform operational tasks like – data loading, batch job scheduling and monitoring.
Analyze incidents to identify corrections needed and improvement opportunities.
The skills you bring:
10+ years of programming in large scale production systems, in languages such as Python, PySpark, Airflow
Excellent Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib)
Excellent knowledge of SQL databases and ability to write advanced, performant SQL queries
Strong experience on SQL & NoSQL databases like MongoDB, Cassandra, Elasticsearch, Kafka, Apache Spark etc
Experience with one or more Container-ecosystem (Docker, Kubernetes)
Experience in designing scalable data pipelines and use of open source tools in design, deployment and management of robust data pipelines (Apache Airflow/Apache Nifi)
Experience in one or more of Microsoft Azure, GCP, AWS and Continuous Integration & Continuous Training into these platforms
4+ years of experience in architecting and deploying and operating ML/DL models (ML Ops) in production in cloud and edge environments
Excellent written and verbal communication skills
Desirable Skills:
Machine Learning and Deep Learning toolkits;
3+ of experience in modern AI/ML model governance practices.
