Description

You will build and deploy generative AI solutions using Python, LLMs, and agentic frameworks. You own the end-to-end lifecycle from model development to MLOps deployment on cloud platforms.

Responsibilities

• Develop and implement RAG pipelines and vector database integrations for enterprise applications.
• Design and deploy ML models using SageMaker, Snowflake, BigQuery, and Hadoop.
• Build automation and CI/CD pipelines for AI/ML workloads using DevOps practices.
• Apply software engineering principles to ensure scalable and reliable AI services.

Required Skills

• 5+ years of progressive experience in Information Technology.
• Hands-on expertise with Generative AI, LLMs, and agentic frameworks.
• Proficiency in cloud platforms Azure and GCP, including their AI/ML services.
• Strong background in Big Data technologies (BigQuery, Hadoop).
• Experience with MLOps, AI/ML deployment, SageMaker, and Snowflake.
• Proficient in CI/CD, DevOps, and automation tools.
• Bachelor’s degree in a related field or equivalent 5+ years of experience.

Preferred Skills

• Domain expertise in Banking, Finance, or Capital Markets.
• Experience with Python-based software engineering.

Key Skills

Education

Bachelor's degree