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Tier-1 brand, metro Bangalore location, and broad full-stack AI skillset increase applicant competition.
Core technical skills are transferable, though hedge‑fund operational domain knowledge increases specificity.
Explicit 9+ years and mandatory Python, AI production, Flask/Django, and DB skills create strict filtering.
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Build and scale AI-powered applications and integrations to support risk and operational control workflows across trading operations.
Implement, refine, and productionize AI/ML solutions in Python within equity and derivatives domains and related enterprise platforms.
Deploy, manage, maintain applications and CI/CD pipelines across Linux and Windows environments using technologies like Flask, Django, SQL Server, and PostgreSQL.
9+ years of full-stack development experience with deep expertise in Python.
Experience implementing AI-generated or AI-assisted solutions in production environments, including use of Claude and other LLMs.
Strong proficiency with Flask, Django, Pandas, NumPy, Linux and Windows Server administration.
Proficient with SQL Server and PostgreSQL, complex SQL development, and deployment tools including Apache, Nginx, IIS, Gunicorn, uWSGI, GitHub, Jenkins.
Experienced in delivering AI-powered production applications within post-trade risk and operations control teams or similar financial services environment.
Comfortable working across full-stack development with strong backend and deployment skills in both Linux and Windows.
Able to translate complex business and technical requirements into scalable, production-ready solutions supporting critical operational workflows.