
Senior Artificial Intelligence Engineer
7 days ago
We are seeking a seasoned AI Systems Engineer to join our organization. This role involves designing, building, and deploying production-grade AI systems using cutting-edge technologies.
Key Responsibilities:
- Design and deploy end-to-end ML pipelines on Google Cloud Vertex AI (Pipelines, Model Registry, Endpoints).
- Work with Large Language Models (LLMs) and Retrieval-Augmented Generation (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.
- Utilize 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.
Requirements:
- Strong hands-on experience with Google Vertex AI.
- 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.
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