San Jose CA
Job Description:
>> Hands-on delivery of scalable, secure, and high-performance systems for analytics, reporting, and machine learning on a petabyte scale
>> Architecting and building scalable, secure cloud-based platforms for analytics, reporting, data lakes, warehouses, and machine learning workloads
>> Creating, deploying, and monitoring end-to-end AIML solutions encompassing data preprocessing, modeling, inference, and solution improvement
>> Delivering robust data models, metadata, and taxonomy strategies suitable for large, distributed data architectures
>> Researching, recommending, and implementing appropriate technologies related to cloud, big data, analytics, and ML
>> Adhering to data security, privacy, and compliance standards
>> Collaborating effectively with engineering, data science, IT, and business stakeholders for requirements gathering and solution delivery
>> Monitoring and maintaining optimal performance and cost-effectiveness of delivered solutions troubleshooting and resolving issues proactively
>> Remaining informed about current trends in cloud, data, and AIML and recommending architectural improvements based on industry best practices
Requirements:
>> Bachelor s degree in computer science required
>> At least 5 years of hands-on experience in distributed computing architecture
>> Significant hands-on experience in cloud architecture (e.g., AWS, Azure, Google Cloud Platform), big data platforms, and end-to-end data solution workflows
>> Demonstrated expertise in machine learningAI frameworks, platforms, and MLOps
>> Proven record of building, optimizing, and documenting scalable cloud, data, and ML solutions
>> Ability to diagram architectures at multiple levels of detail
>> Ability to document every aspect of work including technical decisions, architectures, workflows, and operational procedures
>> Strong skills in technical communication, documentation, and cross-functional collaboration
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