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Data Scientist - Generative Ai
Company | IBM |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Computer Hardware Manufacturing |
Expires | 2023-08-19 |
Posted at | 9 months ago |
651016BR
- Utilizing the latest IBM AI technical strategies and sales plays to unlock client opportunities, applying skills in AI development, model building, Fine-Tuning and API integration .
- Apply prompt-engineering techniques to specific use cases and types of models.
- Displaying a growth mindset and genuine curiosity to grasp clients' business processes and challenges, employing statistical analysis skills to identify transformation opportunities .
- Applying Foundation Models to propose and validate hypotheses for business queries
- Fine Tuning pre-trained Foundation Models and assisting different stakeholders with analysis and implementation.
- Collaborating with the client to rapidly develop AI solutions using IBM watsonx Platform via a Proof of Experience (PoX)
- Knowledge of cloud technologies, specifically Kubernetes, and expertise in leveraging them for large-scale AI workloads.
- Understanding of key concepts in the Foundation Models literature and expertise in building and deploying them for real-world examples.
- Ability to identify fundamental problems from real-world cloud use-cases and to design, build and validate successful AI solutions.
- Capability to demonstrate and evaluate AI solutions via experimental methods, particularly through hands-on creation of prototypes.
- Excellent command of the English language, both verbal and written.
- Strong communication skills and the ability to collaborate effectively within a local team.
- Strong contribution record with either publications in top peer-reviewed scientific conferences and journals or strong leadership track-record in opens source communities, with a particular focus on foundation models, or large scale machine learning models.
- Knowledge of Large Language Models (LLM), Langchain and HuggingFace Model
- Track record of being part of highly collaborative teams to tackle important problems which produce high impact solutions
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