Job Description :
We are looking for an AI / ML Engineer with strong expertise in Google Cloud (Vertex AI) and Generative AI applications. This is a hands-on role where you'll design, build, and deploy production-grade AI systems while working with cutting-edge technologies.
What you'll do :
- Build and deploy end-to-end ML & Generative AI pipelines on Google Vertex AI (Pipelines, Model Registry, Endpoints).
- Work with LLMs and RAG-based systems to power applications like summarization, intelligent agents, and content generation.
- Implement MLOps pipelines to automate model deployment, monitoring, and retraining in production.
- Leverage GCP services such as BigQuery, Cloud Storage, and Cloud Functions to manage large-scale data and deployments.
- Optimize models for scalability, cost, and performance in real-world use cases.
- Collaborate with cross-functional teams to translate business problems into production-ready AI solutions.
What we're looking for :
Strong hands-on experience with Google Vertex AI (must-have).Proven work in Generative AI / LLMs (code gen, content creation, intelligent agents, or RAG).Solid background in MLOps (Kubeflow, MLflow, CI / CD, monitoring).Expertise in Python plus at least one other language (Java, Go, C / C++, R, SQL).Practical experience deploying tested ML modules with measurable performance outcomes.Proficiency with TensorFlow, PyTorch, Scikit-learn, Keras.(ref : hirist.tech)