TL;DR
AI Engineer (AI/ML): Developing and deploying AI solutions using Databricks GenAI and Lakehouse with an accent on Model Serving, Vector Search, and embedding workflows. Focus on leveraging LLMs and GenAI app patterns like RAG / Agents, ensuring robust cloud platform integration and CI/CD practices.
Location: Hyderabad
Company
hirify.global is a company.
What you will do
- Work with Databricks GenAI, Model Serving, and Vector Search.
- Utilize Databricks Lakehouse for clustering, Unity Catalog, and Delta Lake.
- Apply knowledge of LLMs, embeddings (OpenAI/Azure OpenAI), and GenAI app patterns (RAG / Agents).
- Utilize Python, PySpark, and Data Engineering for hands-on development.
Requirements
- 4–5 years of hands-on experience in Python, PySpark, and Data Engineering.
- Proficiency in SQL, Spark performance tuning, and distributed computing.
- Strong understanding of cloud platforms (Azure preferred).
- Experience with CI/CD using Azure DevOps, GitHub Actions, or similar tools.
Nice to have
- Familiarity with React.js for developing simple UI modules.
- Experience with MLflow for model tracking.
- Exposure to metadata-driven frameworks or automation-based accelerators.
- Understanding of MLOps and orchestration tools (Airflow, ADF, DB Workflows).
- Knowledge of Lakehouse security and governance concepts.
Будьте осторожны: если вас просят войти в iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →