Ph3Who We Are /h3 pWe operate beyond organizational silos, combining deep expertise in data engineering and AI‑driven solutions to design and deliver scalable, user‑centric applications and modern data architectures. We support a wide range of industries, including Automotive, Banking, Insurance, Telecommunications, E‑commerce, and Public Services. Our focus is on building robust, enterprise‑grade data platforms and enabling advanced analytics and AI capabilities within the Microsoft ecosystem, including Azure, Microsoft Fabric, and the Power Platform. We specialize in designing secure, high‑performance solutions that integrate data pipelines, AI models, and generative AI use cases to deliver real business value. /p h3What You’ll Be Doing /h3 ul liArchitect and deploy AI solutions using Microsoft Azure services. /li liDesign end-to-end AI/ML architectures covering data ingestion, feature engineering, model training, deployment, and monitoring. /li liImplement MLOps practices, including CI/CD pipelines and operational monitoring. /li liPreprocess and analyze data to ensure high‑quality inputs for AI and retrieval‑based systems. /li liCreate and manage vector indexes to support AI search and retrieval use cases. /li liEvaluate, select, and integrate appropriate ML frameworks, tools, and platforms. /li liEnsure AI solutions comply with security, cost, and performance standards. /li /ul h3What You Bring Along /h3 ul liBachelor’s degree in Computer Science, Informatics, Engineering, or equivalent practical experience. /li liMinimum 5+ years of experience in ML and AI‑focused roles. /li liStrong experience designing and deploying AI/ML solutions on Microsoft Azure. /li liSolid understanding of end-to-end ML pipelines and MLOps concepts. /li liHands‑on experience with CI/CD pipelines and production monitoring for AI systems. /li liExpertise in data preprocessing, feature engineering, and data quality assurance. /li liPractical knowledge of vector databases, embeddings, and retrieval‑based AI systems. /li liExperience evaluating and selecting ML frameworks and tooling based on use-case needs. /li liGood awareness of security, cost optimization, and performance considerations in cloud‑native AI solutions. /li liExcellent verbal and written communication skills in English. /li /ul /p #J-18808-Ljbffr