AI/ML Engineer

Join to apply for the AI/ML Engineer role at Nokia 1 day ago Be among the first 25 applicants Join to apply for the AI/ML Engineer role at Nokia Job Responsibilities 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. How You Will Contribute And What You Will Learn Interprets internal and external business challenges and recommends best practices to improve products, platforms, 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. Key Skills And Experience 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 – at least 1–2 of these (Clickhouse, Presto, MySQL, Oracle, SQL Server, Postgres). 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). 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. Inclusion & EEO Statement 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. About The Team 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. Referrals increase your chances of interviewing at Nokia by 2x. #J-18808-Ljbffr