Principal R&d Architect

Há 7 dias


Amadora, Portugal Phiture Tempo inteiro

As Principal R&D Architect in Autonomous Networks, you will play a key role in shaping innovative software solutions across performance management, fault management, data management, and AI/ML—aligning closely with customer needs and strategic goals. This role calls for a seasoned architect with deep expertise in assurance and evaluation, capable of designing and delivering end-to-end solutions. You will define system specifications, design input/output processes, and ensure the success of integrated architectures that drive the evolution towards autonomous networks.

**How You Will Contribute And What You Will Learn**
- Front-end the design and deployment of scalable assurance and analytics solutions across telecom and enterprise environments.
- Translate complex technical insights into clear, actionable business requirements for internal teams and stakeholders.
- Architect real-time dashboards and advanced event evaluation to enhance visibility and decision-making.
- Own the full lifecycle of AI/ML projects—from data preparation through to model deployment.
- Guide and engage with cross-functional teams, ensuring high-quality and timely solution delivery.
- Engage directly with customers in pre-sales activities, including solution discussions and proof-of-concept development.
- Work with global teams to align and review initiatives with business goals while driving innovation through emerging AI and data science technologies.

**Key Skills And Experience**
**You have**:

- 15 years of hands-on experience in business intelligence, data science, and analytics with a Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
- Deep expertise in AI, ML, Python, and dashboard development tools.
- Familiarity with the telecom networks, systems, and analytics use cases.
- Demonstrated experience guiding analytics teams and managing the project lifecycle.
- Hands-on experiences in designing and building assurance and analytics solutions.

**It would be nice if you also had**:

- Certifications in Data Science, Machine Learning, and Cloud Platforms (e.g., AWS, GCP)
- Experience with big data technologies and MLOps practices.
- Exposure to SaaS-based analytics delivery and customer success initiatives.

**About Us**
**Come create the technology that helps the world act together**

Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.

We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work.

**What we offer**

Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs, and highly diverse teams with an inclusive culture where people thrive and are empowered.

**Nokia is committed to inclusion and is an equal opportunity employer**

Nokia has received the following recognitions for its commitment to inclusion & equality:

- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark

At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.

We are committed to a culture of inclusion built upon our core value of respect.

Join us and be part of a company where you will feel included and empowered to succeed.

**About The Team**

As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible. #J-18808-Ljbffr



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