Cloud Ai/Ml Architect

2 days ago

Metro Manila Philippines Buscojobs Full time

The Offer Shape enterprise AI strategy at scale by guiding organizations on their transformation journeys Gain high visibility and influence through direct engagement with senior executives and cross-functional leaders Accelerate your career growth in a fast-evolving space while working alongside global experts The Job As a Cloud AI / ML Architect, you will partner with enterprise customers to design, implement, and scale machine learning and generative AI solutions in the cloud. You will be a trusted advisor, guiding organizations on how to build secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes. Key Responsibilities : Design and implement end-to-end architectures for AI / ML workloads, including data ingestion, model training, deployment, and monitoring. Advise on scalable infrastructure for generative AI, foundation models, and data-driven applications. Collaborate with data science, product, and engineering teams to accelerate AI adoption across industries. Deliver workshops, proof-of-concepts, and executive briefings to showcase AI / ML best practices. Support enterprise migrations of AI / ML pipelines from on-premises or legacy systems to the cloud. Drive conversations on security, compliance, and responsible AI in large-scale environments. Mentor engineering and data teams, helping them operationalize and optimize AI solutions. The Profile You have 8–12 years of experience in enterprise IT, with at least 5 years in AI / ML solution architecture or related fields. You also have 8+ years of experience in cloud-based solutions, systems, networking, and operating environments, along with strong hands-on expertise in coding, data querying languages (e.g., SQL), and scripting languages (e.g., Python). Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps practices. Hands-on expertise in data pipelines, feature engineering, model deployment, and monitoring at scale. Solid background in distributed systems, high-availability design, and cloud-native architectures. Experience with generative AI models, LLMs, and integration into enterprise applications is a strong plus. Strong communication and stakeholder engagement skills; able to influence both executives and technical teams. Curiosity and a continuous learning mindset to stay ahead in the fast-evolving AI / ML landscape. The Employer Our client is a world-renowned technology innovator, enabling enterprises across the globe to accelerate digital transformation. Their platforms serve millions of users and fuel breakthrough advancements in cloud, data, and AI. As they expand their specialist architecture team, they are focused on helping customers harness the true power of AI / ML at scale. #J-18808-Ljbffr

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