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Description SeniorArchitect – Data & AI/ML Your keyresponsibilities As a Data and AI Solution Architect you will beworking in a multi-disciplinary team to design the technical architecture forData Science and AI solutions. You will apply technical knowledge to architectsolutions that meet business and IT needs, create Data Platform, roadmaps, andensure long term technical viability of new deployments, infusing key analyticsand technologies where appropriate (e.g. Azure ML, ML Server, BOT framework,Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.) Collaboratingwith other Cloud Solution Architects in developing complex end-to-endEnterprise solutions on Microsoft Azure platform as well as design and build ModernData Pipelines and Data Streams and build Data Service APIs. Key Responsibilities: Work with clients to help shape their technical requirements. Design AI Solutions for clients. Work in partnership with enterprise architects to ensure AI solutions fit and scale into a larger picture Working with Data Scientists and AI Engineers with environment creation. Use MLOps processes to deploy models into production. Design back-end and front-end infrastructures to support Analytics and AI solutions. Carry out pilots, prototypes or proof of concepts, where applicable, to further capabilities provided by our technology stack and data systems. Work with clients throughout the delivery process of a Data Science and AI solution providing technical leadership. Skills and Attribute for Success: Experience in both Data Science and Data Engineering. Experience of building Machine Learning solutions. Excellent understanding of Machine Learning/Deep Learning, AI concepts and applications. Experience with artificial intelligence techniques including image recognition, NLP, voice-to-text etc. Excellent understanding of Data Architecture. Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau; Technical knowledge in programming, scripting and related standards (Python, bash, Perl, Java, XML, JavaScript, HTML etc.). Has extensive experience with RDMS (MSSQL and T-SQL) and No-SQL data platforms and systems Expert in Azure/AWS/GCP cloud data architectures and platform technologies Knowledge of GDPR and data security Demonstrated knowledge of agile project methodology Good knowledge of Dev-Ops and software engineering principles. Committed to ethical AI development Strong leadership and management skills. ToQualify for the role, you must have ·Minimum15+years of IT experience ·Minimum5+ years of Solution Architect experience ·At least5+ years of deep technology experience at very large enterprises or web scaleproduct companies. ·At least5+ years of architecture, design, implementation, and/or support of highlydistributed applications (i.e. having an architectural sense for ensuringavailability, reliability, etc.) on cloud. ·Experiencein presenting ideas, papers, patents to varied audiences. ·Certificatesrequirements: ·MicrosoftAzure related certifications