Job DescriptionGen AI - Senior Data Scientist
Mississauga, ON
This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI. We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain
Responsibilities- Design develop and implement cutting edge Generative AI solutions for various AIML projects in Finance building upon existing foundations
- Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and context awareness of our AI systems
- Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning
- Utilize table transformers and other advanced Python packages for extracting and processing complex financial data
- Work end-to-end on GenAI solutions from data preprocessing and model development to deployment and monitoring
- Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows
- Stay UpToDate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts
- Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences
Qualifications- Bachelor’s in computer sciences or related field
- Master’s degree or PhD in Data Science Computer Science or a related field is preferred
- Proven experience 68 years in developing and deploying AIML solutions in real-world settings
- Minimum 2 years of experience specifically with Generative AI solutions
- Proven experience in developing and deploying Generative AI solutions in real-world settings
- Deep understanding of
- Retrieval Augmented Generation RAG
- Large Language Models LLMs and their applications
- Transformer models eg BERT GPT
- Agentic AI understanding
- Prompt engineering and finetuning techniques
- Vector databases and similarity search
- LangChain LlamaIndex or similar frameworks for building GenAI applications
- Model evaluation metrics for GenAI
- MLOps principles and practices for deploying and managing AI models
- Strong programming skills in Python including experience with relevant libraries and frameworks eg TensorFlow PyTorch scikitlearn Pandas NumPy
- Excellent communication collaboration and problem-solving skills
- Handson experience with end-to-end AI project development and deployment
Preferred Qualifications- Formal coursework or certifications in Data Science
- Experience in the financial services industry
- Familiarity with cloud computing platforms eg AWS Azure GCP
- Contributions to opensource AI projects
What to expect- Opportunity to work on cutting-edge AI projects
- Collaborative and innovative work environment
SkillsMandatory Skills: GenAI - LLMOps, Python