Description

You will design and implement enterprise-scale AI-enabled solutions and data science platforms.

This role is on-site.

Responsibilities

• Identify and categorize high-value use cases for Generative AI implementation.
• Lead the transformation of customer requirements into technical visions, strategies, and roadmaps.
• Architect solutions using Retrieval Augmented Generation (RAG), In-context Memory, and Transformer architectures.
• Develop applications incorporating models such as GPT, Anthropic Claude, Google PaLM, and Meta Llama.
• Integrate data processing, machine learning models, and feedback mechanisms into cohesive architectures.

Required Skills

• 5+ years of experience in technical architecture or related roles.
• Hands-on programming proficiency in Python, Node.js, or Java.
• Deep expertise in Data & AI architecture within Azure, AWS, or GCP.
• Experience with Conversational AI tools including Microsoft BOT service, Google DialogFlow EX, or Amazon Lex.
• Proven ability to design, train, and publish NLP models for multiple languages.
• Experience building web applications using Microservices, Azure Functions, Logic Apps, or API management.
• Knowledge of deployment technologies including Docker, ACR, ACI, and Azure Kubernetes.

Preferred Skills

• Knowledge of MLOps and Omni-Channel Integration for AI.
• Certifications in Azure OpenAI, Google PaLM 2, AWS Bedrock, or Deeplearning.ai LLM courses.

Key Skills

Education

ANY GRADUATE