Applied Scientist - Generative AI
India
Nokia Standards drives technology leadership by developing and bringing innovative concepts to industry and standards organizations. We shape ecosystems to ensure an inventor friendly industry environment favorable to Nokia’s business success, and drive Nokia’s intellectual property rights portfolio and standards leadership.
As an Applied Scientist in Generative AI, you will be instrumental to lift our Generative AI tasks to a new level. You will create the foundations for harnessing the potential of Large Language Models and Generative AI in standardization work and 6G. You'll be a crucial member of a world-class team, applying the latest advances in Generative AI and LLMs to create and deploy state of the art solutions for business-critical tasks.
At Nokia, we value AI Scientists who are not only experts in their field but also innovators and visionaries.
- Apply and enhance state-of-the-art generative models for various tasks related to telecommunication and standardization.
- Collaboration with cross-functional teams and stakeholders to translate business needs into innovative generative AI solutions.
- Conduct research to improve the performance, efficiency, and robustness of generative models.
- Develop and implement evaluation metrics to measure the success of generative models.
- Stay up to date on the latest advancements in generative AI research and translate them into practical applications.
- Active participation in the research community, contributing insights and advancements in generative AI.
- A PhD or Masters in computer science, artificial intelligence and machine learning, or a related field with 3-5- years of total experience and having 1-2 years of work experience in AI-ML.
- Excellent understanding of deep learning architectures and machine learning algorithms
- Deep understanding and the capability to enhance and adapt Large Neural Network Models for generative tasks (e.g. based on transformers and its evolution).
- Experience in hands-on research involving training and fine-tuning generative AI models to achieve state-of-the-art performance, particularly focusing on agentic workloads.
- Excellent team working capabilities and drive to mentor and teach colleagues about the latest advances in ML and GenAI.
- Strong programming skills in Python (PyTorch, TensorFlow, etc.) and experience with scientific computing libraries as well as agent-based GenAI frameworks.
- Experience working with large datasets.
- Curiosity and research spirit to expand the boundaries of the currently known.
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.
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.
Join us and be part of a company where you will feel included and empowered to succeed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning Generative AI Generative modeling LLMs Machine Learning PhD Python PyTorch Research TensorFlow Transformers
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