remote
Agentic AI Engineer - Tiger Analytics
AI Engineer
Senior Engineer focused on building and deploying agentic generative AI solutions, leveraging machine learning and data science to deliver business value for Fortune 500 clients.
About the role
Key Responsibilities
- Design, develop, and deploy agentic generative AI models that drive actionable insights for enterprise clients.
- Implement end‑to‑end ML pipelines, including data ingestion, feature engineering, model training, and validation.
- Integrate AI solutions into production environments, ensuring scalability, reliability, and compliance with security standards.
- Monitor model performance, conduct drift analysis, and iterate on models to maintain high accuracy and relevance.
- Collaborate with cross‑functional teams to translate business requirements into technical specifications and deliverables.
Requirements
- 5+ years of experience in AI/ML engineering with a strong focus on generative models.
- Hands‑on experience with MLOps tools (Kubeflow, MLflow, or similar) for model deployment and monitoring.
- Excellent problem‑solving skills and ability to communicate complex concepts to non‑technical stakeholders.
- Experience working with Fortune 500 clients or in a consulting environment is a plus.
Skills
generative aimachine learning