Data Scientist, Advanced AI
Canada
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.The team you’ll be part of
An exciting opportunity to work in the ever-changing Telecommunication Industry. As a member of (**Team Name**), for our (*** BG). You will be a part of a team whose objectives are to deliver in an environment where openness, trust, and autonomy are encouraged. Each team member selects the tasks to work on and exchanges daily with his/her teammates on the progress and challenges.
What you will learn and contribute to
- Design, develop, and deploy advanced LLM models and algorithms to analyze and interpret complex textual and multimodal data.
- Explore and prototype state-of-the-art LLMOps techniques to improve query-response performance.
- Employ techniques in data curation and unstructured data synthesis to drive overall response quality.
- Help develop and maintain domain-specific GenAI benchmarks. Conduct A/B testing, drift analysis, and other experimentation to optimize overall solution’s performance.
- Optimize GenAI processing pipelines for performance, scalability, and resource efficiency.
- Document, prepare and present findings and insights to technical and non-technical stakeholders.
Your skills and experience
You have:
- Master's degree or equivalent (PhD preferred) in Computer Science, Engineering, Mathematics, or a related field.
- Previous Nokia intern or co-op with experience in AI/ML research including data cleansing, featurization, model tuning and evaluation.
- Experience with LLM engineering stack such as vLLM, TGI/TEI, LiteLLM, Ollama, gguf, ggml.
It would be nice if you also had:
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., NLTK, spaCy, HuggingFace).
- Experience with big data frameworks and technologies such as Spark, Kafka, Cassandra a plus.
- Familiarity with GPU usage, containerization, orchestration and cloud technologies.
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
Join us and be part of a company where you will feel included and empowered to succeed.
Additional Information
US/Canada Nokia Offers a comprehensive benefits package that includes but is not limited to:
- Corporate Retirement Savings Plan
- Health and dental benefits
- Short-term disability, and long-term disability
- Life insurance, and AD&D – Company paid 2x base pay
- Optional or Supplemental life and AD&D insurance (Employee/Spouse/Child)
- Paid time off for holidays and Vacation
- Employee Stock Purchase Plan
- Tuition Assistance Plan
- Adoption assistance
- Employee Assistance Program/Work Life Resource Program
Nokia Maintains broad annual base salary ranges for its roles in order to account for variations in knowledge, skills, experience and market conditions, and with consideration to internal peer equity.(Check the salary ranges in the job info section for this role)
All North America job posts will post for a minimum of 7 calendar days and up to 180 days or until candidate/s identified.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Big Data Cassandra Computer Science Engineering Generative AI GPU HuggingFace Kafka LLMOps LLMs Machine Learning Mathematics NLP NLTK PhD Pipelines PyTorch Research spaCy Spark TensorFlow Testing Unstructured data vLLM
Perks/benefits: Career development Equity / stock options Health care Insurance
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