Architect Machine Learning

Architect- Machine Learning

The role is for Architect Machine Learning Engineer emphasizes:

• 7+ years of hands-on experience building ML solutions on AWS.
• Strong expertise in Amazon SageMaker (training, inference, processing jobs).
• NLP and deep learning:
• Transformers
• BERT
• Attention mechanisms
• Hugging Face, spaCy, NLTK
• Agentic AI:
• LangChain
• Amazon Bedrock Agents
• MCP (Model Context Protocol)
• Multi-agent architectures
• LLMs & Generative AI:
• Fine-tuning LLMs (especially Llama 2)
• Prompt engineering
• Vector databases (OpenSearch, Pinecone, Elasticsearch, Bedrock Knowledge Bases)
• AWS services including:
• Lambda
• Step Functions
• API Gateway
• SageMaker
• Workflow orchestration:
• Airflow
• SageMaker Pipelines
• Kubeflow
• Building secure APIs and integrating third-party services.
• Collaboration with cross-functional teams.