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Tier-1 brand, metro location, and generalist Software Engineer II title increase candidate competition.
Strong preference for financial domain experience reduces cross-industry transferability.
Requires mandatory 2+ years plus production ML/AI, AWS, Python, Docker and domain-specific knowledge.
Engineer and implement novel machine learning solutions tailored for financial tasks, especially involving Knowledge Graphs.
Optimize and scale AI/ML infrastructure on AWS, including integration of large language models (LLMs).
Collaborate with data scientists and engineers to deploy, integrate, and manage ML/NLP models end-to-end in production environments.
B.Tech/BE/M.Tech/ME in Computer Science or equivalent from a reputed college/university.
2+ years software engineering experience, with significant focus on production AI/ML integration.
Proficiency in Python, Docker, API development; experience with cloud architecture (AWS) and event-driven architectures.
Familiarity with major database types (SQL, NoSQL, Vector).
Experienced in deploying and scaling AI/ML solutions in production within financial domains.
Strong hands-on skills building data pipelines and managing complex structured and unstructured financial data.
Competent in coordinating cross-functional teams for ML model deployment and operational maintenance.