Description

Key Responsibilities

•       Develop, train, and deploy machine learning models using Amazon SageMaker

•       Work with large-scale datasets using modern data frameworks like Apache Iceberg

•       Build and optimize AI solutions leveraging Amazon Bedrock and Amazon Q

•       Perform exploratory data analysis and generate actionable insights

•       Collaborate with engineering teams to productionize ML models

•       Support AI initiatives related to Agent Core and enterprise AI platforms

Required Skills & Qualifications

•       Strong background in statistics, machine learning, and data analysis

•       Hands-on experience with Python, SQL, and data science libraries (Pandas, Scikit-learn, etc.)

•       Experience with AWS ML ecosystem (SageMaker preferred)

•       Ability to work with large datasets and distributed data processing systems

•       Strong problem-solving and analytical thinking

Preferred Qualifications

•       Experience with generative AI and NLP use cases

•       Familiarity with LLMs and prompt engineering

•       Exposure to enterprise AI implementations

Key Skills

Education

Any Gradute