Description

You will develop, train, and deploy machine learning models and AI solutions using the AWS ecosystem.

This role is remote.

Responsibilities

• Build and optimize AI solutions leveraging Amazon Bedrock and Amazon Q.
• Develop and productionize ML models using Amazon SageMaker.
• Work with large-scale datasets using modern data frameworks like Apache Iceberg.
• Perform exploratory data analysis to generate actionable insights.
• Collaborate with engineering teams to support Agent Core and enterprise AI platforms.

Required Skills

• 5+ years of experience in statistics, machine learning, and data analysis.
• Strong proficiency in Python, SQL, and data science libraries (Pandas, Scikit-learn).
• Hands-on experience with the AWS ML ecosystem, specifically Amazon SageMaker.
• Ability to handle large datasets and distributed data processing systems.
• Strong problem-solving and analytical thinking capabilities.
• Bachelor's degree in a relevant field (Any Graduate).

Preferred Skills

• Experience with generative AI and NLP use cases.
• Familiarity with LLMs and prompt engineering.

Key Skills

Education

Any Gradute