Freshers Jobs Vacancy – R&D Specialist Job Opening at Nokia

Job Description Of R&D Specialist Job Opening at Nokia

• Realization (Analysis, Development, Implementation) of features, customer issues resolutions, enhancements, change requests with Analysis, designing frameworks, Scripting, Verification & leading team.
• Technical consultation on development & testing activities of Network Functions including Architecture.
• Handling of Feature delivery & maintenance topics.
• Responsible for the product quality & deliverables for new features and handling customer issues.
• Perform high-level and low-level design of the component/functional area.
• Take ownership of end-to-end quality assurance of features/components.
• Meet the relevant project quality targets and objectives.
• Contribute to R&D efficiency improvements.
• Demonstrates independence and raises innovative ideas.
• Understanding of performance & robustness aspects of telecom products, preferably core products.

Required Minimum Qualifications

• You will be responsible for developing applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, and natural language processing.
• You will be involve working with developing and deploying AI models and collaborating with cross-functional teams.
• Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance – Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques – Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment.
• Work with developers to integrate applications and Strong coding ability in Python, Go/R programming.
• Should know about crunching billions of datapoints for statistical modeling, data mining for insights and recommendation solutions.