about 5 hours ago
Responsibilities
- Design end-to-end machine learning and AI systems for strategic problems.
- Develop, train, and validate machine learning models using advanced techniques.
- Build production-grade AI-ML pipelines including model training and deployment.
- Implement guardrails and compliance controls for AI/ML systems.
- Collaborate with stakeholders to adopt responsible AI practices.
- Provide guidance on AI use cases and drive adoption across business units.
- Implement monitoring frameworks for model performance and governance.
- Build relationships with stakeholders and communicate effectively.
- Prepare documentation and reports on AI product development.
- Stay informed about industry trends to enhance AI initiatives.
Requirements
- 10+ years of experience in AI/ML engineering or architecture design.
- Proven track record of delivering 3+ ML/AI solutions to production.
- Experience deploying Gen AI solutions and orchestration frameworks.
- Strong proficiency in Python and clean code practices.
- Hands-on expertise in building solutions on public cloud platforms.
- Ability to translate business problems into AI-ML opportunities.
- Knowledge of model lifecycle management and monitoring processes.
- Experience with large language models and production deployments.
- Understanding of model security and compliance with data privacy regulations.
- Highly competent, collaborative, and outcome-oriented.
Tech Stack
Categories
AI & MLData Science