AI ML Architect

Responsibilities

• Deep expertise in AI/ML architecture design (TensorFlow, PyTorch, etc.)
• Familiarity with large language models and Generative AI - Experience with cloud-native architectures (AWS, Azure, GCP)
• Strong understanding of MLOps for continuous integration and deployment
• Proficiency in data pipelines, data lakes, and feature engineering

Must-Have:

• Proven expertise in AI/ML system design
• Strong analytical and problem-solving capabilities
• Ability to create scalable and flexible architectures
• Deep understanding of cloud and hybrid infrastructures
• Experience with high-volume, real-time data systems

Good-to-Have:

• Exposure to deep learning in NLP or Computer Vision
• Experience with security and compliance in AI systems
• Knowledge of DevOps and agile development practices
• Familiarity with explainable AI and bias mitigation
• Strong collaboration and technical documentation skills