In the AI/ML Solution Architect role, you will collaborate in a dynamic, cross-functional team environment that fosters innovation and creativity. You will work alongside skilled data scientists, engineers, and business stakeholders to tackle complex challenges and drive impactful AI/ML solutions in manufacturing operations. Our culture prioritizes continuous learning, enabling you to stay ahead of emerging technologies and methodologies. Enjoy a flexible work-life balance with opportunities for remote work. You'll have access to professional development programs and certifications to enhance your expertise. Competitive compensation and comprehensive benefits ensure your contributions are valued, while a diverse and inclusive workplace empowers you to make a meaningful impact on projects that shape the future of technology at Nokia.
Responsibilities- Design and implement end-to-end scalable AI/ML solutions, including data pipelines and model deployment.
- Define and optimize secure architectures for ML workloads in cloud and on-prem environments.
- Collaborate with business leaders to identify AI/ML opportunities and develop solution roadmaps.
- Provide technical leadership in AI governance, best practices, and emerging technologies.
- Architect MLOps pipelines for CI/CD, model versioning, and lifecycle management.
- Ensure data quality, governance, and compliance throughout the AI/ML processes.
- Act as a liaison between data scientists, engineers, and business stakeholders to drive successful outcomes.
- Lead design reviews and architecture discussions to support strategic AI initiatives.
Must-Have:
- Bachelors / Master degree in computer science, data science, AI or related field with 10+ years in software engineering, data engineering or architecture roles
- 5+ years hands-on experience in AI/ML solutions in production environments
- Familiar with machine learning algorithms (supervised, unsupervised, deep learning) and with edge AI, IoT analytics, or real-time ML systems
- Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Proficiency in Python with familiarity in Java/Scala
- Hands-on experience with cloud platforms like Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Exposure to Generative AI, NLP, and LLM-based applications
Nice-To-Have:
- Certifications in cloud platforms or AI/ML specialties
- Experience in manufacturing, telecom, or digital transformation domains
Skills Required
- Bachelor's or Master's in computer science, data science, AI or related field and 10+ years in software engineering, data engineering or architecture roles
- 5+ years hands-on experience in AI/ML solutions in production environments
- Familiarity with machine learning algorithms (supervised, unsupervised, deep learning) and with edge AI, IoT analytics, or real-time ML systems
- Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn
- Proficiency in Python
- Familiarity with Java or Scala
- Hands-on experience with cloud platforms like Azure, AWS, or GCP
- Experience with MLOps tools such as MLflow, Kubeflow, or SageMaker
- Exposure to Generative AI, NLP, and LLM-based applications
- Certifications in cloud platforms or AI/ML specialties
- Experience in manufacturing, telecom, or digital transformation domains
Nokia Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nokia and has not been reviewed or approved by Nokia.
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Equity Value & Accessibility — Equity programs include a global employee share purchase plan with company matching and multi‑year share awards. These mechanisms broaden participation and tie rewards to long‑term outcomes.
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Healthcare Strength — Health coverage includes major medical plans with supplementary options such as vision, legal services, and care navigation. The range of offerings indicates comprehensive support for medical needs.
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Parental & Family Support — A global policy grants paid leave for new parents regardless of gender and provides structured return‑to‑work support. Company‑paid life insurance further strengthens family protection across regions.
Nokia Insights
What We Do
At Nokia, we create technology that helps the world act together. As a trusted partner for critical networks, we are committed to innovation and technology leadership across mobile, fixed and cloud networks. We create value with intellectual property and long-term research, led by the award-winning Nokia Bell Labs. Adhering to the highest standards of integrity and security, we help build the capabilities needed for a more productive, sustainable and inclusive world.
