FAQs
What is the primary role of the AI/ML & Data Platform Engineer at Nokia?
The primary role is to develop innovative cloud-based solutions that encompass both front-end and back-end technologies for end-to-end AI/ML and data platforms, bridging the gap between graphical design and technical implementation.
What qualifications are required for this position?
A master's or bachelor's degree in Computer Science, AI, IT, Telecommunications, or a related field is required, along with 5-8 years of total experience, including 1-2 years of work experience in AI/ML.
Which programming languages should candidates be proficient in for this role?
Candidates should be proficient in Go, Java, and Python for backend development.
What databases will the AI/ML & Data Platform Engineer work with?
The role involves working with SQL, NoSQL, and in-memory databases to implement robust data storage solutions.
Will the engineer be involved in front-end development as well?
Yes, proficiency in UI development using JavaScript/TypeScript is preferred, along with a keen eye for design.
What type of projects will the engineer work on?
The engineer will contribute to modern cloud-based platforms for data, AI/ML, and communication network simulations, working on use cases like Machine Learning and large-scale system simulations.
Does Nokia promote continuous learning and personal development?
Yes, Nokia offers continuous learning opportunities and well-being programs to support mental and physical health.
What is the workplace culture like at Nokia?
Nokia fosters an inclusive culture that values diversity and empowers employees to bring their authentic selves to work, encouraging open ideas and risk-taking.
Is previous experience with open-source software necessary for this role?
While not mandatory, experience with state-of-the-art open-source software such as K8s and Flyte is beneficial.
What recognitions has Nokia received for its commitment to inclusion and equality?
Nokia has been recognized as one of the World’s Most Ethical Companies by Ethisphere, received a Gender-Equality Index by Bloomberg, and is acknowledged in the Workplace Pride Global Benchmark.