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Tier-1 brand, metro location, broad full-stack plus ML skillset increases applicant competition.
Role requires deep ML/AI engineering expertise with moderate finance-specific compliance and domain expectations.
Explicit 10+ years plus deep, mandatory AI/ML, deployment, and security skills make screening strict.
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Lead design, development, and implementation of AI and application systems with a focus on scalable AI enterprise solutions and ETL pipelines.
Partner with management to integrate functions, identify system enhancements, and deploy new AI products and process improvements.
Provide technical leadership and coaching to mid-level developers; ensure application design aligns with architecture and compliance policies.
At least 10+ years of hands-on application development experience, including AI engineering and Python programming.
Bachelor’s degree or equivalent required; Master’s degree preferred.
Proficiency with AI frameworks (e.g., TensorFlow, PyTorch), Python frameworks (FastAPI, Flask, PySpark), SQL/PLSQL, and database technologies (Oracle, Postgres, MongoDB).
Experience with software development best practices (Git, CI/CD), agile methodologies, Docker, and OpenShift.
Senior technologist with deep expertise in AI system design, scalable AI solutions, and advanced Python engineering.
Experienced in integrating large language models (ChatGPT, Claude, Gemini) and AI frameworks into robust AI services and pipelines.
Strong background in application and data architecture, API-first design, microservices, event-driven architecture, and operational stability for AI systems.