Job Description: AI/ML Engineer AWS Bedrock/Anthos/Open Source RAG Gen AI Pipeline
Position Overview:
AI/ML Engineer with expertise in cutting-edge technologies such as AWS Bedrock, Anthos, and open-source Retrieval-Augmented Generation (RAG) pipelines. In this role, you will design, develop, and optimize AI-driven solutions that leverage pre-trained large language models (LLMs) and orchestrate intelligent workflows across multi-cloud
environments. This position is ideal for professionals passionate about building scalable and secure AI solutions tailored for specific domains.
Key Responsibilities
AI/ML Model Development:
o Design and deploy AI/ML models using AWS Bedrock, Anthos, and RAG pipelines.
o Fine-tune pre-trained LLMs to meet domain-specific needs.
Pipeline Integration:
o Implement LlamaIndex to orchestrate RAG workflows.
o Automate AI/ML pipelines leveraging Boto3 for seamless AWS service interactions.
Collaboration & Optimization:
o Work closely with data teams to build clean and efficient data pipelines.
o Optimize prompting strategies and LLM performance to enhance model outcomes.
System Architecture:
o Develop scalable and secure inference pipelines compatible with multi- cloud architectures.
o Ensure robust deployment using DevOps practices, including containerization and CI/CD pipelines.
Research & Innovation:
o Explore and implement innovative techniques for prompt engineering and
LLM optimizations.
Required Technologies and Skills Cloud Platforms:
AWS (Bedrock, SageMaker, Lambda)
Anthos and multi-cloud solutions
AI/ML Frameworks:
TensorFlow, PyTorch, scikit-learn
RAG Stack:
LangChain, LlamaIndex, Haystack, Milvus, Weaviate
DevOps Tools:
Docker, Kubernetes, Terraform, CI/CD
Programming Languages:
Python (proficiency with Boto3)
JavaScript
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