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- AI / ML Engineer (SME) Our enterprise clients are moving from isolated AI experiments to large-scale, business-critical AI systems. AI is no longer a research topic. It is reshaping core processes, products, and operating models across industries.This role exists to support that shift by delivering enterprise-grade AI systems that perform reliably at scale._________________________________________________________Mission You will operate as a SubjectAI / ML Engineer (SME) Our enterprise clients are moving from isolated AI experiments to large-scale, business-critical AI systems. AI is no longer a research topic. It is reshaping core processes, products, and operating models across industries.This role exists to support that shift by delivering enterprise-grade AI systems that perform reliably at scale._________________________________________________________Mission You will operate as a Subject
- DevOps / MLOps / Orchestration (SME) Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms.The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale.This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-gradeDevOps / MLOps / Orchestration (SME) Our enterprise clients are moving from isolated AI components to fully integrated AI systems embedded within core products and platforms.The challenge is no longer building models, but orchestrating, deploying, operating, and evolving AI systems reliably at scale.This role exists to bridge software engineering, DevOps, and AI operations, enabling AI systems to move from experimentation to industrial-grade
- CloudOPS (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterpriseCloudOPS (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterprise
- Infra & Data Cybersecurity (AI) (SME) Our enterprise clients are deploying AI systems that operate on highly sensitive data, critical infrastructure, and business-critical decision flows.AI introduces new threat surfaces: data leakage, model poisoning, supply-chain attacks, inference abuse, and regulatory exposure.This role exists to secure AI environments end-to-end, from infrastructure and data to models and access layers, in enterprise and regulatedInfra & Data Cybersecurity (AI) (SME) Our enterprise clients are deploying AI systems that operate on highly sensitive data, critical infrastructure, and business-critical decision flows.AI introduces new threat surfaces: data leakage, model poisoning, supply-chain attacks, inference abuse, and regulatory exposure.This role exists to secure AI environments end-to-end, from infrastructure and data to models and access layers, in enterprise and regulated
- Data Platform Engineer (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterpriseData Platform Engineer (SME) Our enterprise clients are moving from fragmented data foundations to AI-first data platforms capable of supporting large-scale, business-critical AI systems.AI performance is directly constrained by data quality, availability, governance, and latency.This role exists to build and operate the data backbone that enables reliable, scalable, and compliant AI at enterprise
