AI/ML Engineer
Nokia
Develop, train, and optimize machine learning models using state-of-the-art algorithms and techniques.
Process and analyze large datasets to extract meaningful features and insights.
Build scalable ML pipelines and deploy models into production environments.
Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
Monitor model performance and continuously improve accuracy, efficiency, and robustness.
Stay updated on emerging AI/ML trends and tools to apply best practices.
Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices.
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
We are committed to a culture of inclusion built upon our core value of respect.
In Mobile Networks, our ambition is to become the trusted partner of choice for Communications Service Providers (CSPs), as well as for non-CSP entities in sectors like utilities, transportation, public services, and defense. We strive to deliver unbeatable customer experiences in wireless connectivity.
We are seeking a talented AI/ML Expert to design, develop, and deploy innovative machine learning and artificial intelligence solutions to network planning and optimization domain. The ideal candidate will collaborate with cross-functional teams to transform complex datasets and perform data analysis and data modeling techniques together with other tasks.
- Bachelor’s or Master’s degree in Data Science, Computer Science or related fields.
- A minimum of 5-8 years work experience in software development/engineering projects, with minimum 2-3 years of AI/ML & Data Engineering experience.
- Strong programming skills in Python and familiarity with ML libraries.
- Experience with data manipulation and transformation
- Understanding of ML algorithms including supervised, unsupervised, and deep learning methods.
- Experience in interfacing python tools with relational databases – Atleast 1-2 of these (Clickhouse, Presto, MySQL, Oracle, SQL Server, Postgress)
- Solid foundation in statistics and data analysis.
- Knowledge of cloud platforms (AWS, GCP, Azure) and experience with containerization (Docker, Kubernetes) is a plus.
- Strong problem-solving skills and ability to work independently and collaboratively.
- Excellent Communication skills – English.
Spanish and Portuguese is a plus - Optional.
Good knowledge of 5G & LTE network architecture, and network optimization is a plus – Optional
• Interprets internal and external business challenges and recommends best practices to improve products, olatforms, tools, processes and services.
• Has in-depth organisational and relevant market knowledge and uses understanding on how relevant areas can be integrated to achieve objectives.
• Solves complex problems based on sophisticated analytical thought and complex judgment.
• Contributes to development of concepts to determine professional direction of own organisational unit.
Develop, train, and optimize machine learning models using state-of-the-art algorithms and techniques.
Process and analyze large datasets to extract meaningful features and insights.
Build scalable ML pipelines and deploy models into production environments.
Collaborate with data scientists, telco engineers, automation experts and product managers to understand business requirements and translate them into AI solutions.
Monitor model performance and continuously improve accuracy, efficiency, and robustness.
Stay updated on emerging AI/ML trends and tools to apply best practices.
Document experiments, processes, and results clearly for knowledge sharing and reproducibility.
Use traditional automation languages like python combined with ML models to create a final product beneficial for Network Planning and Optimization practices.