Look4IT
11 - 50 employees
Founded 2012
🎯 Recruiter
☁️ SaaS
Recruitment • IT • SaaS
Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.
Data Platform Architect
Job not on LinkedIn
🕒 April 29
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Look4IT
11 - 50 employees
Founded 2012
🎯 Recruiter
☁️ SaaS
Recruitment • IT • SaaS
Look4IT is a recruitment agency specialized in the IT sector, focusing exclusively on providing staffing solutions for permanent and contract positions. Established in 2012, the company leverages over a decade of experience and a database of over 270,000 candidates, ensuring quality and speed in matching skilled IT professionals with employers. Look4IT offers a wide range of recruitment services, including technical screenings, outsourcing, and process automation, tailored specifically to the unique needs of the IT industry.
📋 Description
• Providing end-to-end architectural support across GenAI platforms, MLOps, and advanced analytics ecosystems • Designing scalable, secure, and enterprise-grade data and AI platform solutions • Ensuring architectural consistency across multiple parallel initiatives • Driving platform sustainability, scalability, and operational excellence • Collaborating with cross-functional teams (data, AI, engineering, business stakeholders) • Defining best practices, standards, and architectural guidelines for AI and data platforms
🎯 Requirements
• 8+ years of experience in data/AI engineering, including min. 3–5 years in an architectural role • Proven experience as a Data / AI / ML Architect or similar role • Strong understanding of Generative AI (LLMs), MLOps, and modern data platforms • Experience designing scalable and secure enterprise solutions • Hands-on experience with cloud platforms (Azure, AWS or GCP) • Familiarity with tools such as Databricks, MLflow, Azure ML, SageMaker or similar • Strong stakeholder management and communication skills • Ability to work across multiple projects and priorities • Fluent English
🏖️ Benefits
• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events
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