AI/ML Engineer

Overview Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. Learn more about life at Nokia. 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, 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. 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 – 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 About Nokia Advancing connectivity to secure a brighter world. Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world. Learn more about life at Nokia. Our recruitment process We act inclusively and respect the uniqueness of people. Our 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. If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity. The length of the recruitment process may vary depending on the specific role\'s requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia. About The Team Some of our benefits: Flexible and hybrid working schemes A minimum of 90 days of Maternity and Paternity Leave, with the option to return to work within a year following the birth or adoption of a child (based on eligibility) Life insurance to all employees to provide peace of mind and financial security Well-being programs to support your mental and physical health Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs) Employee Growth Solutions to support your personalized career & skills development Diverse pool of Coaches & Mentors to whom you have easy access A learning environment which promotes personal growth and professional development - for your role and beyond #J-18808-Ljbffr