GCP Architect-AI and Data Solutions Engineer
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Job Description
Structured overview of role & requirementsAbout This Role
Lead design and deployment of enterprise-scale AI and data software solutions on Google Cloud Platform (GCP).
Manage project lifecycle including estimation, planning, execution, mentoring junior members, and ensuring quality deliverables.
Prepare and enforce technical architectures, automate development/operational tasks, and provide technical guidance across teams.
Minimum Requirements
6-9 years of experience in consulting, industry, or technology with expertise in software development and solution engineering.
Hands-on experience with GCP services such as Dataflow, BigQuery, Dataproc, Datalab, Dataprep, Pub/Sub, and Genomics.
Knowledge of core Data Science techniques (regression, classification, clustering) and deep learning frameworks (e.g., TensorFlow).
Bachelor's or Master's degree in Engineering, Computer Applications, or Science from an accredited university.
Ideal Candidate Profile
Experienced in architecting and rolling out AI and data solutions aligned to business outcomes in large-scale environments.
Skilled at root cause analysis and providing architectural solutions, with ability to guide delivery teams through frameworks and automation.
Prior experience working with recommendation engines, data pipelines, distributed machine learning, and data visualization software.