Description

You will design and implement data architectures to support AI/ML and Generative AI workloads.

Responsibilities

• Design and implement data architectures for AI/ML and Generative AI applications.
• Develop and optimize data pipelines for training, validating, and deploying AI models.
• Integrate AI frameworks into data platforms for high throughput and low latency.
• Collaborate with data scientists and stakeholders to align AI strategies with business goals.
• Prototype and implement architectures using generative models to enhance business processes.

Required Skills

• Expertise in Generative AI, LLMs, and AI architecture design.
• Strong understanding of AI/ML end-to-end pipelines, including model training and deployment.
• Experience integrating AI frameworks into data platforms for scalable operations.
• Proficiency in cloud platforms, specifically AWS, and API integration for AI deployment.
• Familiarity with NLP models and MLOps practices for AI solutions.
• Knowledge of data governance, security, and compliance standards for AI applications.
• 10+ years of professional experience in relevant fields.

Key Skills

Education

Any Graduate