Cloud Engineering - Gen AI
Posted: 03/19/2026
Job Number: z5G7h3l6a1kMvyS65NP3cwDd4KMcw0EkL5yWtALMPAA=
Pay Rate: 110000-130000 Yearly CAD
Job Description
Role - Cloud Engineering - Gen AI
Location: Mississauga-Ontario-Canada & Halifax-Canada
Mandatory Skills: GenAI - LLMOps, Python
Good to Have Skills: RPA - Microsoft Power Automate
Job description
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 cuttingedge 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 contextawareness 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 endtoend on GenAI solutions from data preprocessing and model development to deployment and monitoring
Collaborate with crossfunctional 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
Bachelors in Computer Sciences or related field
Masters 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 realworld settings
Minimum 2 years of experience specifically with Generative AI solutions
Proven experience in developing and deploying Generative AI solutions in realworld 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 problemsolving skills
Handson experience with endtoend 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 cuttingedge AI projects
Collaborative and innovative work environment
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