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Tier-1 brand, campus hiring, generic Software Engineer title, and metro location increase applicant competition.
Requires finance domain knowledge plus ML/AI specialization, reducing cross-industry transferability.
Multiple mandatory technical skills (ML/GenAI, AWS, Graph/vector DBs, Docker, CI/CD) but no years makes filtering moderately strict.
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Support implementation, testing, and integration of ML and NLP models for financial AI applications.
Maintain and deploy AWS cloud infrastructure for ML workflows, APIs, and LLMs.
Build and monitor data pipelines for structured and unstructured financial data, ensuring high data quality.
Bachelor's degree in Computer Science Engineering or equivalent.
Strong proficiency in Python and familiarity with API frameworks like FastAPI or Flask.
Hands-on experience or project work with AWS services such as S3, Lambda, Step Functions, and Glue.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or conceptual knowledge of Gen AI concepts including embeddings, vector search, and LLMs; familiarity with AI coding tools like Claude Code or Cursor.
Understanding or experience working with Graph Databases and vector databases.
Experience with event-driven architectures, Docker, and automated CI/CD pipelines (e.g., GitHub Actions), plus good understanding of financial data and domain challenges.