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 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
- 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
- Large Language Models LLMs and their applications
- Transformer models e.g. BERT GPT
- Agentic AI understanding
- Prompt engineering and finetuning techniques
- Vector databases and similarity search
- Lang Chain 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 e.g. 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 e.g. AWS Azure GCP
- Contributions to opensource AI projects
What to expect
- Opportunity to work on cutting edge AI projects
- Collaborative and innovative work environment
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 Fin...
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 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
- 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
- Large Language Models LLMs and their applications
- Transformer models e.g. BERT GPT
- Agentic AI understanding
- Prompt engineering and finetuning techniques
- Vector databases and similarity search
- Lang Chain 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 e.g. 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 e.g. AWS Azure GCP
- Contributions to opensource AI projects
What to expect
- Opportunity to work on cutting edge AI projects
- Collaborative and innovative work environment
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