Description

You will design, fine-tune, and deploy machine learning and NLP models within an AWS environment.

Responsibilities

• Fine-tune and deploy models using Amazon SageMaker and AWS Bedrock.
• Implement advanced prompt engineering techniques, specifically Tree of Thought (ToT) and Chain of Thought (CoT).
• Build and maintain machine learning pipelines using Python and standard ML frameworks.
• Collaborate with cross-functional teams to solve complex analytical problems.
• Manage model training and deployment workflows using AWS cloud services.

Required Skills

• 5+ years of experience in machine learning, AI, or NLP.
• Strong proficiency in Python.
• Hands-on experience with PyTorch or TensorFlow.
• Direct experience with AWS SageMaker and AWS Bedrock.
• Expertise in prompt engineering (CoT and ToT).
• Experience with AWS cloud services for model training.
• Familiarity with JumpCloud and cloud-based identity/security management.
• Any Graduate degree.

Key Skills

Education

Any Graduate