Google Cloud ML Engineer- Vertex AI
About The Position
We seek an experienced developer to design, build, and deploy advanced Conversational AI/NLU solutions Requirements: Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK). Hands-on experience in developing NLP and GenAI Models on Vertex AI Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models. Required Qualifications: 5-7 years in software development (4+ in NLP/NLU for chat). Good to have an understanding on other GCP services and cloud-native architectures Preferred Qualifications: Master's/PhD in Computer Science, AI/ML, or related field Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer Experience with GenAI frameworks (PaLM, Gemini) Integration with CRM, knowledge bases, and live agent systems Soft Skills: Excellent communication and collaboration. Strong ownership and end-to-end project delivery. Leadership in cross-functional environments. Team Leading and Management.
Requirements
- Experience architecting, designing, and developing scalable chat Virtual Agent frameworks using Google Vertex AI, with proficiency in Vertex AI Agent Engine, Model Garden and Google Agent Development Kit (ADK).
- Hands-on experience in developing NLP and GenAI Models on Vertex AI
- Proficiency in training, fine-tuning, and deploying custom LLMs, transformer models, and Retrieval Augmented Generation (RAG) pipelines to AI Models.
- 5-7 years in software development (4+ in NLP/NLU for chat).
- Good to have an understanding on other GCP services and cloud-native architectures
- Excellent communication and collaboration.
- Strong ownership and end-to-end project delivery.
- Leadership in cross-functional environments.
- Team Leading and Management.
Nice To Haves
- Master's/PhD in Computer Science, AI/ML, or related field
- Must have GCP Certification- Google Cloud Certified Professional Machine Learning Engineer
- Experience with GenAI frameworks (PaLM, Gemini)
- Integration with CRM, knowledge bases, and live agent systems
Benefits
- medical
- vision
- dental
- life
- disability insurance
- paid time off (including holidays, parental leave, and sick leave, as required by law)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
