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Tier-1 employer, mid-level (3-6 yrs) role, and metro location create high applicant competition.
Core GenAI skills are transferable, but financial-services experience requirement raises domain sensitivity.
Mandatory years, GenAI specialization, and specific ML/engineering tech stack make screening highly strict.
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Participate in designing, developing, and implementing new or enhanced application systems focused on Generative AI solutions such as LLMs, RAG, and chatbots.
Analyze code and system vulnerabilities, conduct debugging and testing to ensure secure and efficient application performance.
Serve as a subject matter expert advising senior stakeholders and coaching junior team members, ensuring application development aligns with technical and compliance standards.
Bachelor’s degree in Computer Science, Data Science, or a related field; Master’s degree preferred.
3+ years experience as a Data Scientist with at least 2 years specialized in Generative AI, including working with LLMs and chatbot development.
Strong programming skills in Python and experience with libraries like TensorFlow, PyTorch, Transformers, LangChain.
Experience with API development and deploying solutions on cloud platforms such as AWS, Azure, or GCP.
Experienced in applying machine learning and Generative AI models end-to-end, including prompt engineering and model optimization within production environments.
Comfortable operating independently with limited supervision, capable of making evaluative decisions and advising senior stakeholders.
Has a background in financial services or complex application development environments, with strong communication skills to translate technical concepts to diverse audiences.