Description

You will design, develop, and deploy Generative AI models and pipelines for real-world use cases.

Responsibilities

• Build and optimize solutions using AWS AI/ML services, including Amazon Bedrock and SageMaker.
• Orchestrate Agentic AI systems by integrating autonomous agents with structured workflows.
• Implement prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques.
• Collaborate with data scientists and cloud engineers to translate requirements into GenAI solutions.
• Ensure robustness, scalability, and compliance for GenAI workloads in production.

Required Skills

• 5–9 years of experience in machine learning and AI development.
• Proficiency in Python and GenAI/ML libraries including Transformers and PyTorch.
• Hands-on experience with Generative AI models such as GPT, Claude, or Mistral.
• Experience with Amazon Bedrock and other AWS AI/ML services.
• Proficiency in building Agentic AI systems using LangChain or AutoGen.
• Solid understanding of cloud-native architectures and MLOps on AWS.
• Familiarity with security, cost, and governance best practices for cloud-based GenAI.

Preferred Skills

• AWS Certified Machine Learning – Specialty.
• Experience with LLMOps tools and vector databases like Pinecone, FAISS, or Weaviate.
• Background in NLP, knowledge graphs, or conversational AI.

Key Skills

Education

Any Gradute