Senior AI & Data Platform Engineer

Аналитика рынка

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Описание

SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide. Responsibilities Design, develop, and deploy enterprise data platforms and agentic solutions on Google Cloud Platform. Architect end-to-end cloud enterprise solutions and guide customer projects through technical completion. Build scalable database, storage, and containerized architectures utilizing AlloyDB, GCS, and GKE. Implement advanced LLM/AI workflows using Gemini Enterprise and Agent Platform (formerly Vertex AI). Automate infrastructure provisioning, CI/CD pipelines, and MLOps practices for seamless model deployment and monitoring. Write high-performance, maintainable Python code adhering to modern software design patterns, algorithms, and data structures. Skills: Certification: Active Google Cloud Professional ML Engineer certification (mandatory requirement). Experience: 5+ years of experience designing, developing, and deploying high-performance data platforms and AI/agentic solutions. GCP Stack Proficiency: Hands-on experience with AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE), Gemini Enterprise, and Agent Platform (Vertex AI). Software Engineering: Advanced Python coding skills with deep knowledge of algorithms, data structures, and software architecture. DevOps & MLOps: Proven track record in infrastructure-as-code, automation, and CI/CD for AI/ML pipelines. Client Delivery: Demonstrated

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