Description

You will design and build Generative AI solutions, owning the full lifecycle from data pipelines to cloud deployment.

This role is on-site.

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.
• 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