- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 1 hour ago
- Work mode
- In office
- Eligibility
- Candidates with hands-on exposure to cloud-based AI/ML work, Python development, and modern language model applications can apply.
- Resume
- Required to apply
Where you'll work
Job description
Role Overview
This position is focused on hands-on work with cloud-based generative AI solutions, using Google Cloud Platform services and Python-based development workflows. The role calls for practical experience across AI/ML tooling, API integration, and real-world applications of large language models.
Core Technical Focus
- Use Google Cloud Platform services such as Vertex AI, AI Platform Pipelines, Cloud Functions, GKE, and ADK.
- Set up and manage Python environments along with dependency tools such as pip and conda.
- Integrate APIs using methods such as API keys and OAuth.
- Work on projects involving NLP, machine learning, or data science.
- Apply prompt engineering concepts in practical LLM use cases.
- Understand how transformer architecture supports modern natural language processing systems.
- Use AI code-assist tools as part of development workflows.
Experience Profile
The ideal candidate should bring a strong working knowledge of GCP fundamentals and exposure to AI/ML projects, along with familiarity with how models such as GPT, Claude, and LLaMA are deployed in production-like scenarios.