Description

You will build and deploy AI/ML models within an AWS cloud environment.

Responsibilities

• Build and deploy AI/ML models using AWS cloud infrastructure.
• Develop and optimize deep learning models using TensorFlow and PyTorch.
• Implement supervised/unsupervised learning, deep learning, reinforcement learning, time series forecasting, Bayesian statistics, and optimization.
• Design and refine LLM and natural language processing (NLP) systems using open-source models.
• Build RAG applications leveraging AWS machine learning services and LLM models.

Required Skills

• 6+ years of IT experience with at least 3 years focused on Data Science.
• Expertise in Python programming for AI/ML research and implementation.
• Proficiency with AWS machine learning services including SageMaker and Lambda.
• Hands-on experience with TensorFlow and PyTorch in AWS environments.
• Ability to independently design and build RAG applications.
• Strong foundation in AI/ML theory and research.
• Experience with cloud-based AI/ML workflows and high-performance computing in AWS.
• Practical knowledge of LLM and NLP system design.

Preferred Skills

• Experience optimizing workflows using EC2, S3, and Redshift.

Key Skills

Education

Not specified