Join the NI “Center of Innovation” team at Nokia Turkey R&D as an AI Automation Long Term (Part-Time) Intern! Collaborate closely with product experts, solution architects, and software developers on exciting automation projects that have a global impact on telecom operators. You'll thrive in a vibrant, hands-on environment, gaining invaluable experience with cutting-edge technologies. Not only will you play a vital role in integrating AI into network automation, but you'll also enjoy being part of Nokia's culture that emphasizes innovation and teamwork.As an AI Automation Long Term (Part-Time) Intern, you will play a vital role in developing AI chatbots and automation projects, focusing on network performance monitoring and troubleshooting. This internship offers a unique opportunity to contribute to groundbreaking solutions that enhance connectivity and improve lives worldwide, all while helping shape a more productive and inclusive future.
You have:
Student or new graduate in a BS/MS: Computer Engineering / Software Engineering / Electrics and Electronics Engineering / Data EngineeringExcellent English skills: both verbal and written, with native Turkish language skills.Passion for AI with a demonstrated background in AI development.Proficiency in Python programming language.You can have :
Large Language Models, ChatGPT, Open Source LLM Models (ex: LLama3, Mixtral, …), Generative AI, RAG (Retrieval Augmented Generation)Experience of relational (ex: MySQL, PostgreSQL, Oracle) and non-relational (ex: MongoDB, Elasticsearch, OpenTSDB) DBMS and experience in writing SQL or NoSQL queries.Knowledge of web front-end technologies (HTML, CSS, JavaScript, React.js) AI/ML: Implementing deep learning models using open source frameworks such as Keras andTensor Flow, etc.Using Linux operating systemContribute to the Development of Large Language Model-based Generative AI ChatbotsDevelop Care-related Network Monitoring Tools/use-cases, Case Handling Automation/Log Analytics-related automation featuresWork hands-on with code to develop cloud-native analytics use-cases, which may include big data processing, machine learning, including prediction/clustering problems and robotics process automation.Perform & contribute full-stack development activities related to tools developed in-houseDesign and develop of Python scripts to support various analytics needsAutomate recurrent data processing, analysis & visualization tasks that will be further used by hundreds of care engineers worldwidePerform testing activities on the new developments