Machine Learning Engineer

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.