. Enhance, maintain, and troubleshoot existing AI and GenAI applications.
. Analyze, prioritize, and resolve production issues, defects, and performance concerns.
. Support onboarding and implementation of new clients on existing AI platforms.
. Assist in developing, testing, and validating machine learning and GenAI solutions.
. Participate in release planning, deployment activities, and post-release monitoring.
. Contribute to AI governance, audit, compliance, and documentation requirements.
. Work closely with customers and cross-functional teams to understand and address business needs.
. Create reports, visualizations, and insights to support operational and business decisions.
. Support automation initiatives that improve application reliability and efficiency.
. Stay current with advancements in GenAI, Agentic AI, orchestration frameworks, and data science methodologies.
. Contribute to model validation and performance testing.
. Stay informed about emerging data science tools and methodologies.
Skills:
. Generative AI: Working knowledge of LLMs, LangChain, LangGraph, Agentic AI, RAG, and orchestration frameworks.
. Python: Strong proficiency in Python for AI/ML application development and support.
. Machine Learning: Understanding of model development, evaluation, and maintenance.
. SQL & Data Analysis: Ability to analyze and troubleshoot data-related issues.
. AI Operations: Experience supporting production AI applications, releases, and monitoring.
. Compliance & Governance: Awareness of AI governance, risk, security, and regulatory requirements.
. Communication: Excellent verbal and written communication skills with the ability to manage stakeholder and client expectations.
. Problem Solving: Strong analytical skills and ability to diagnose and resolve complex issues.
