At a Glance
- Tasks: Shape the future of banking by refining AI models for seamless customer interactions.
- Company: Join a leading financial institution focused on innovative AI solutions.
- Benefits: Hybrid work setup, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data privacy and user needs.
- Why this job: Make a real impact in the banking sector with your data science expertise.
- Qualifications: 5-8 years of Python and SQL experience, plus familiarity with large language models.
The predicted salary is between 99000 - 121000 $ per year.
Shape the future of banking with your data science expertise. Focus on advanced conversational AI systems and training large language models in a hybrid work setup.
In this crucial role, you will work on refining AI models that foster seamless customer interactions across channels.
Your technical knowledge in data analysis with Python and SQL will be key in ensuring the quality and relevance of AI responses.
Engage in innovative projects that address user needs in the financial sector.
Key Responsibilities
- Gather and preprocess data for AI model training
- Implement advanced NLU and NLG techniques
- Analyze performance of LLM systems for optimization
- Ensure adherence to strict data privacy standards
- Collaborate on AI model operationalization for banking
Requirements
- 5-8 years of Python experience for analysis
- 5-8 years working with SQL
- 2-5 years in data preparation and ETL processes
- Understanding of data privacy practices
- Familiarity with large language models preferred
Utilize your skills to enhance customer engagement and leverage AI's potential in the banking industry.
Data Scientist for Conversational AI Systems in Toronto employer: Delpath
As a QA Automation Lead for Salesforce Projects within the Canadian Banking Business Group, you will thrive in a dynamic work culture that prioritizes innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and mentorship programs, ensuring you can advance your career while making a meaningful impact on project delivery. Located in Canada, we offer a supportive environment that values work-life balance and fosters a sense of community among our team members.
