AI Data Scientist

Responsibilities

• Serve on the SD Architecture Board to define and maintain the technology roadmap and technical guidelines for the organization.
• Provide technical guidance and oversight to development teams to ensure alignment with Software Technology areas.
• Evaluate emerging technologies, including AI/ML application stacks, to recommend integration into the organization's AI/ML strategy.
• Lead the design and implementation of scalable and innovative technology solutions.
• Collaborate with stakeholders to translate business requirements into effective technology solutions.

Requirements

• In-depth knowledge of system architecture and Agile methodologies.
• Proven experience as an AI/ML Architect with a background in designing enterprise-level AI/ML solutions.
• Hands-on experience with technologies including Java, J2EE, Python, Ansible, Microservices, and API design patterns.
• Proficiency with DevOps tools, Kubernetes, Docker, and messaging systems.
• Comprehensive understanding of multi-cloud architectures across AWS, Azure, and Google Cloud Platform (GCP).
• Familiarity with RAG (Retrieval-Augmented Generation) models and Natural Language Processing (NLP) techniques such as text analysis and language modeling.

Preferred Qualifications

• Professional or Architect certifications in Kubernetes or major cloud platforms (AWS, GCP, Azure).
• AI or Data specializations within major cloud provider certifications.
• Exposure to marketplace development platforms and community building initiatives.

About the Company

At Ericsson, you’ll have an outstanding opportunity to use your skills and imagination to push the boundaries of what’s possible. You will join a team of diverse innovators driven to go beyond the status quo to build solutions for some of the world’s toughest problems.