Description

You will build and deploy generative AI solutions on Google Cloud Vertex AI to extract insights from structured and unstructured data.

Responsibilities

• Develop and deploy GenAI components on Vertex AI to process diverse data structures.
• Implement prompt engineering and Retrieval-Augmented Generation (RAG) strategies to improve accuracy.
• Integrate generative capabilities into data pipelines, APIs, and dashboards for real-time analytics.
• Translate business requirements into technical AI-enabled analytical solutions.
• Maintain technical knowledge of generative AI advancements and their applications in data analysis.

Required Skills

• Proficiency in Python and LangChain.
• Experience with Java or C/C++.
• Experience with REST API clients and platforms such as Spring or Flask.
• 2+ years of experience shipping production-grade software.
• 1+ years of experience deploying solutions in modern cloud environments.
• Hands-on experience with Google Cloud, AWS, or Snowflake.
• Strong ability to communicate analytical results to technical and non-technical audiences.

Preferred Skills

• Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Exposure to Vertex AI, GCP AI/ML services (AutoML, BigQuery ML, Cloud Run), or Linux.
• Understanding of NLP, deep learning, and architectures like Transformers or Diffusion Models.
• Experience with MLOps, CI/CD for AI workflows, and parameter-efficient fine-tuning (LoRA, PEFT).

Key Skills

Education

Any Graduate