Machine Learning Engineer

· Lead analysis of ML-driven business needs and opportunities for Ericsson and strategic customers.

· Define model validation strategy and establish success criteria in data science terms.

· Architect and design data flow and machine learning model implementation for production deployment.

· Drive rapid development of minimum viable solutions and leverage existing and new data sources.

· Develop solutions using Generative AI and RAG approaches.

· Design near real-time streaming and batch applications, ensuring scalability and high availability.

· Conduct performance analysis, tuning, and apply best practices in architecture and design.

· Document solutions and support reviews; contribute to product roadmap and backlog governance.

· Manage system packaging, software versioning, and change management.

· Perform design and code reviews, focusing on security and functional requirements.

· Collaborate with product teams to integrate ML models into Ericsson offerings

· Advocate for new technologies within ML communities and mentor junior team members

· Build ML competency within Ericsson and contribute to cross-functional initiatives.