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Senior role with specialized GCP/Vertex AI skills reduces applicant density.
Strong ML, MLOps and cloud requirements make cross-industry moves moderately transferable.
Explicit 12+ years plus mandatory GCP, Vertex AI, ML/Ops and technical leadership create strict filters.
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Develop and implement AI and machine learning strategies aligned with business objectives, staying updated with industry trends.
Lead the end-to-end delivery of AI solutions including model development, deployment using GCP Vertex AI, and post-production performance management.
Mentor and guide data science team members, fostering technical excellence and collaboration, and contribute to AI literacy among stakeholders.
12+ years overall industry experience with at least 8 years in data science solutions.
Bachelor’s degree in Computer Science, Statistics, or Applied Mathematics is mandatory.
Proficiency in AI solution implementation with expertise in supervised ML algorithms, Google Cloud Platform (Vertex AI, BQ, Composer, Cloud Storage), Python, SQL, Spark, Tensorflow.
Experience with MLOps, containerization, data lineage, visualization, and Agile methodologies including sprints and daily stand-ups.
Proven leader capable of driving AI/ML strategy and orchestrating cross-functional AI solution deployments at scale.
Experienced in hands-on development and managing AI model lifecycle on Google Cloud Platform, particularly Vertex AI.
Strong in stakeholder management and capable of mentoring data scientists while integrating business knowledge with AI technology effectively.