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We are seeking an experienced MLOps & AIOps / GCP Engineer to join the Gemini domain team. This role focuses on designing, building, and operating secure, scalable, production-grade ML and GenAI platforms on Google Cloud Platform (GCP), enabling reliable model training, deployment, monitoring, and incident response. You will collaborate with data scientists, platform engineers, and product teams to operationalize ML/GenAI use cases (including agentic workflows) and ensure high availability through robust production support, automation, and observability practices.
Required Technical Skills
Programming & Engineering
Cloud Technologies (Primary: GCP)
Data/ML/MLOps Platforms (any of the below)
GenAI / Agentic Frameworks (Mandatory)
Databases / Vector Stores (Any)
DevOps / CI-CD
Required Experience
Perks and Benefits for Irisians
Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click to view the benefits.
A strategic partner that transformational leaders can trust to realize the full potential of technology-enabled transformation.As a trusted technology partner, we focus our highly-experienced talent and rightsized teams to develop complex, mission-critical applications and solutions for leading enterprise across financial services, life sciences, including pharmaceutical, CROs and medical devices, manufacturing & logistics and educational services.
Job ID: 148431561
Skills:
Databricks, Cloud Storage, Azure Machine Learning, BigQuery, Iam, Gcp, Python, automated retraining, model registry, Monitoring, OpenSearch, GKE, Pub Sub, GitHub CI CD, Weaviate, pgvector, LangChain, Pinecone, Elastic, LangGraph, Cloud Run, GitHub Actions, Milvus, Vertex AI, RAG patterns, Cloud Logging, Secret Manager, vector DBs, Amazon SageMaker, MLOps fundamentals, VPC networking, model monitoring
Skills:
Cloud Storage, Python, BigQuery, Gcp, Iam, release workflows, Cloud Logging, pgvector, lineage, Pinecone, OpenSearch, GitHub CI CD, LangGraph, Pub Sub, Elastic, GitHub Actions, Cloud Run, model registry, Vertex AI, MLOps fundamentals, branching strategies, model monitoring, automated retraining, Monitoring, LangChain, GKE, reproducibility, VPC networking, pipeline orchestration, Secret Manager, Milvus, Weaviate
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