Description

You will design and deploy large-scale machine learning solutions and generative AI applications within an AWS environment.

Responsibilities

• Develop and implement cloud-based machine learning solutions using AWS SageMaker.
• Build and fine-tune LLM applications using Langchain and Llama2.
• Design and maintain RAG architectures utilizing vector indexing with OpenSearch or Elasticsearch.
• Orchestrate NLP workflows using Airflow, StepFunctions, SageMaker Pipelines, or Kubeflow.
• Implement MLOps practices specifically for Generative AI models.

Required Skills

• 6+ years of experience in machine learning engineering.
• Proficiency with AWS SageMaker for training, inference, and processing.
• Hands-on experience with LLMs, fine-tuning, and Langchain.
• Experience with GenAI frameworks including VertexAI, OpenAI, and AWS Bedrock.
• Deep learning expertise in Transformers, BERT, and Attention models.
• Practical knowledge of RAG architecture and vector databases.
• Experience with NLP workflow orchestration tools like Airflow or Kubeflow.
• Strong understanding of clustering and neural networks.
• Ability to develop cloud ML solutions on AWS.

Preferred Skills

• Prior experience working on Edtech use cases.
• General software development experience.

Key Skills

Education

Any graduate