Overview
On Site
$60 - $70
Contract - W2
No Travel Required
Skills
Large Language Models (LLMs)
Gemini
Vertex AI
Big Query
Cloud Storage
Cloud Composer
Dataflow
AI
ML
Job Details
Key Responsibilities
- Architect and implement AI/ML solutions on Google Cloud Platform using services like Vertex AI, BigQuery, Cloud Storage, Cloud
Composer, and Dataflow.
- Develop and fine-tune Large Language Models (LLMs) and integrate them into enterprise applications.
- Build Generative AI pipelines using frameworks such as LangChain, Semantic Kernel, and Vector Databases for
Retrieval-Augmented Generation (RAG).
- Collaborate with cross-functional teams to identify and prioritize GenAI use cases.
- Ensure compliance with Responsible AI principles and security standards.
- Optimize performance and scalability of AI models in production environments.
- Mentor junior engineers and contribute to best practices in AI engineering.
Required Skills
- Strong proficiency in Google Cloud Platform services: Vertex AI, BigQuery, Cloud Spanner, Cloud Functions, Pub/Sub.
- Expertise in Python, Java, and AI/ML frameworks (TensorFlow, PyTorch).
- Hands-on experience with Prompt Engineering (Zero-shot, Few-shot, Chain-of-Thought).
- Knowledge of LangChain, Azure/OpenAI APIs, and Vector DBs. Familiarity with CI/CD pipelines, Docker, and Kubernetes. Understanding of Responsible AI, data privacy, and model governance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.