Gen AI - Senior Data Scientist 1448238

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 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 up to date 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
• 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 Llama Index 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

Skills

Mandatory Skills : GenAI - LLMOps, Python