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We are seeking a highly skilled and passionate Senior GenAI Specialist to join our team in Mississauga, Canada. You will play a key role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI, within our financial operations. This role offers a challenging opportunity to contribute to impactful projects, leveraging deep technical expertise in GenAI, LLMs, RAG pipelines, vector databases, chatbot development, and related technologies. You will collaborate with engineers and stakeholders and drive innovation by applying GenAI to solve complex financial problems.
Job Responsibility:
Design, develop, and implement GenAI solutions for various financial applications, including personalized recommendations, risk assessment, fraud detection, and automated reporting. Explore and experiment with advanced GenAI concepts like Agentic AI
Design and implement intelligent chatbots
Process and analyze large datasets of structured and unstructured financial data
Architect and implement efficient RAG pipelines, leveraging tools like LlamaIndex and LangChain
Develop and refine advanced prompting strategies for LLMs
Test, evaluate, and analyze the performance of LLM and other GenAI models
Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments, including containerization, CI/CD pipelines, and cloud infrastructure management
Communicate effectively with business stakeholders
Stay up to date with the latest advancements in GenAI research and development, including areas like Agentic AI
Requirements:
Master's degree or PhD in Computer Science, Engineering, Statistics, or a related field
5-8 years of experience in AI/ML development, with a proven track record of building and deploying sophisticated GenAI applications
Deep understanding of GenAI models and architectures, including transformers, LLMs (e.g., Llama, Gemini, GPT-4), GANs, and diffusion models. Familiarity with Agentic AI concepts
Extensive experience with prompt engineering, fine-tuning LLMs, and evaluating their performance
Expert-level Python programming skills and proficiency with relevant libraries (e.g., Transformers, LangChain, TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, Flask/Django, LlamaIndex)
Experience with vector databases (e.g., Pinecone, Weaviate, Chroma, Faiss, PostgreSQL with vector extensions) and implementing RAG pipelines using tools like LlamaIndex and LangChain
Strong software engineering skills, including containerization (Docker, Kubernetes), CI/CD pipelines, and cloud infrastructure management (AWS, Azure, GCP)
Strong analytical, problem-solving, and communication skills
Experience with MLOps principles and tools
Excellent collaboration skills
Nice to have:
Experience with financial data and applications, particularly in areas like fraud detection, risk management, or personalized financial advice
Strong understanding of financial markets and instruments
Familiarity with chatbot development frameworks and best practices, including conversational AI design and natural language understanding (NLU)
Experience leading or contributing to complex data science or AI/ML projects in a fast-paced environment
Publications or presentations at conferences related to AI/ML or GenAI
Experience with data visualization and reporting tools (e.g., Tableau, Power BI, matplotlib, seaborn)
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