Description

You will design and build Generative AI solutions, focusing on LLMs like GPT, Llama, and Mistral. You will own the full lifecycle of AI products, from data pipeline construction to cloud deployment.

Responsibilities

• Design and optimize RAG pipelines for efficient retrieval-augmented generation.
• Develop ETL and data pipelines using Python, SQL, and PySpark to process large datasets.
• Implement prompt engineering, fine-tuning, and evaluation strategies for LLMs.
• Deploy scalable AI solutions on AWS, GCP, or Azure.
• Collaborate with cross-functional teams to deliver end-to-end AI products.

Required Skills

• 5+ years of experience in data science or machine learning engineering.
• Strong proficiency in Python, SQL, and PySpark for data processing.
• Hands-on experience with LLMs (GPT, Llama, Mistral) and RAG architectures.
• Experience building and maintaining ETL pipelines.
• Proven track record deploying solutions on AWS, GCP, or Azure.
• Bachelor's degree in Computer Science, Engineering, or related field.

Key Skills

Education

Bachelor's degree