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1 semana atrás
Overview Machine Learning Engineer – Network Planning & Optimization – Nokia Responsibilities Develop, train, and optimize machine learning models using state‑of‑the‑art algorithms. 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 translate business requirements 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. Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, or related fields. 5–8 years of software development experience, with 2–3 years of AI/ML & Data Engineering. Strong programming skills in Python and familiarity with ML libraries (scikit‑learn, PyTorch, TensorFlow). Experience with data manipulation, transformation, and relational databases. Solid foundation in statistics and data analysis. Knowledge of cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus. Excellent communication skills – English. Spanish and Portuguese is a plus – optional. Knowledge of 5G & LTE network architecture and network optimization is a plus – optional. Benefits Flexible and hybrid working schemes. Minimum of 90 days maternity and paternity leave, with option to return to work within a year. Life insurance for all employees. Well‑being programs to support mental and physical health. Opportunities to join and receive support from Nokia Employee Resource Groups (NERGs). Employee Growth Solutions to support personalized career & skills development. EEO Statement 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. If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. #J-18808-Ljbffr
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