What are the responsibilities and job description for the Google Cloud ML Engineer position at Kodeva LLC?
Job Details
Role: Google Cloud ML Engineer- Vertex AI
Dallas, TX, Day1 Onsite
12 months
About the Role:
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 Google Cloud Platform services and cloud-native architectures
Preferred Qualifications:
- Master’s/PhD in Computer Science, AI/ML, or related field
- Must have Google Cloud Platform Certification- Google Cloud Certified Professional Machine Learning Engineer
- Experience with GenAI frameworks (PaLM, Gemini)
- Integration with CRM, knowledge bases, and live agent systems
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Salary : $65 - $70