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Gen AI - Senior Data Scientist

Epsilon Solutions Ltd.

Mississauga · Hybrid Full-time Senior Today

About the role

About

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 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
  • Deep understanding of Large Language Models LLMs and their applications
  • Deep understanding of Transformer models eg BERT GPT
  • Deep understanding of Agentic AI understanding
  • Deep understanding of Prompt engineering and finetuning techniques
  • Deep understanding of Vector databases and similarity search
  • Deep understanding of LangChain LlamaIndex or similar frameworks for building GenAI applications
  • Deep understanding of Model evaluation metrics for GenAI
  • Deep understanding of 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

Skills

  • Mandatory Skills : GenAI - LLMOps, Python

Skills

Agentic AIAWSAzureBERTComputer ScienceData ScienceGCPGenAIGPTLangChainLlamaIndexLLMMLOpsNumPyPandasPythonPyTorchRAGscikit-learnTensorFlowTransformer modelsVector databases

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