Senior AI-ML Engineer

Join our Team

About this opportunity:

As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark. When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology. This is a place where you're welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team. Are you in?

Come, and be where it begins.

We believe in trust – we trust each other to do the right things. Therefore, we believe in taking decisions as close to the product and technical expertise as possible!

We truly believe in happiness, we enjoy and feel passionate about what we do and value each other’s technical competence deeply!

You will do:

• Design and develop AI/ML capabilities for Ericsson products, including intelligent automation, operational analytics and GenAI-powered solutions.
• Apply AI to improve software engineering productivity through automation, knowledge management and developer-assistance solutions.
• Drive innovation from concept through deployment, transforming research ideas into production-ready capabilities.
• Provide technical leadership in AI/ML, influencing product strategy, architecture and technology direction.
• Collaborate with product management, architects and engineering teams to identify and realise AI-driven business opportunities.

You will bring:

• Experience 7 to 10 Years.
• Strong software engineering experience, preferably in Python and cloud-native environments.
• Solid understanding of Machine Learning, Generative AI and data-driven systems.
• Experience building scalable applications, APIs and distributed systems.
• Strong analytical and problem-solving skills with the ability to handle ambiguous challenges.
• Excellent communication, collaboration and technical leadership skills.

Skill Competence Area:

• Statistical Machine Learning and Predictive Analytics
• Application of Generative AI and Agentic Systems
• Knowledge Management, Search and RAG
• Intelligent Automation and Developer Productivity
• Cloud-native Platforms and MLOps

Nice to have:

• Familiarity with AI evaluation, safety and reliability techniques.
• Experience with vector databases and semantic search technologies.
• Exposure to Kubernetes, cloud platforms and modern AI tooling.
• Knowledge of telecom networks, OSS/BSS or network management systems.

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“All academic credentials must be from recognized and accredited institutions and are further subject to verification.”