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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Software Engineer, AI Operations, GPS (AI/MLOps): Maintaining and improving production AI deployments for public-sector partners with an accent on operational excellence, SLA management, model governance, and reliability engineering. Focus on detecting model and data drift, automating RAG pipelines, managing incidents, and translating technical AI risks into business impacts for government and enterprise stakeholders.
Company
Scale AI develops reliable AI systems, high-quality training data, and full-stack technologies for enterprises and governments.
What you will do
Lead technical handovers from Delivery to Maintenance and verify code, prompts, architecture, and documentation for long-term maintainability.
Own tiered SLA response and resolution targets, incident governance, root-cause analysis, and P1/P2 mitigation.
Monitor production model performance, latency, data drift, prompt configurations, and regression risks after LLM provider updates.
Classify client requests as routine maintenance or system evolution and benchmark new AI models.
Build self-healing data pipelines, automated RAG indexing synchronization, and telemetry tooling to reduce operational toil.
Act as the senior technical interface for government and enterprise IT leaders, explaining AI operations and system risks in business terms.
Requirements
5+ years of experience in software engineering, MLOps, SRE, or forward deployed engineering in data-intensive or production AI environments.
Advanced Python and SQL skills, plus experience with REST/gRPC APIs and AWS, Azure, or GCP cloud architecture.
Hands-on experience with MLOps tools, vector databases, and LLM orchestration frameworks such as LangChain or LlamaIndex.
Knowledge of prompt version control, model benchmarking, evaluation datasets, RAG pipelines, data drift detection, and CI/CD for machine learning.
Strong technical communication and the ability to manage client expectations and define maintenance boundaries.
For candidates applying from Qatar, residency and employment require permissions, visas, and permits from Qatari authorities.
Nice to have
Experience with public-sector or enterprise AI deployments.
Experience influencing Delivery teams to adopt maintainable architectural patterns.
Culture & Benefits
Work on AI systems used for important decisions by enterprises and governments.
Inclusive and equal-opportunity workplace with reasonable accommodation support.
Successful candidates applying from Qatar receive support with the visa application process, subject to approval by Qatari authorities.
Hiring process
Applicants based in Qatar provide residency status and nationality information for immigration compliance and visa processing.
Candidates may reapply for the same role after a 90-day waiting period.
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