Description

You will develop and deploy generative AI models and machine learning pipelines to solve complex business problems.

Responsibilities

• Build and manage model pipelines using AWS SageMaker.
• Implement and fine-tune large language models using prompt engineering and transformer architectures.
• Design and maintain vectorized databases for efficient data retrieval.
• Apply LLM architecture patterns such as RAG and FLARE to production workflows.
• Monitor model performance using NLP and LLM-assisted metrics.

Required Skills

• 3+ years of professional experience in Machine Learning and Data Science.
• Expert-level Python programming skills.
• Deep understanding of neural networks, transformer algorithms, and open source LLM foundation models.
• Experience with statistical learning algorithms including GLM, XGBoost, and Random Forest.
• Proficiency with AWS cloud services including S3, EC2, RDS, and SageMaker.
• Knowledge of MLOps practices for model development, deployment, and monitoring.
• Experience with prompt engineering and fine-tuning for LLM performance.
• Bachelor’s or Master’s degree in Computer Science or equivalent professional competency.

Key Skills

Education

Bachelor's degree in Computer Science