Verified today
Solution Architect with AI and ML
About the role
Ericsson is hiring a Solution Architect with AI&ML in Bangalore, Karnataka, India to analyze, design, and develop commercially viable technical solutions based on customer specifications and business needs. You will work closely with the Core 3 team to translate customer needs and technology opportunities into detailed technical offerings, solutions, and proposals, while creating short- and long-term profitable business strategies. Day-to-day responsibilities include scoping and designing end-to-end solutions, managing solution roadmaps, developing and testing solution components, leading solution development, performing operational tasks such as data loading and batch job scheduling, and analyzing incidents for improvements.
What you’ll 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
What you’ll 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
Nice to have
- Machine Learning and Deep Learning toolkits
- 3+ years of experience in modern AI/ML model governance practices