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Remote posting and recognizable global brand increase applicants, while seniority and niche ML leadership reduce density.
Role requires specialized ML platforms and MLOps expertise, moderately limiting cross-industry portability.
Explicit 12+ years, required GCP Vertex AI and MLOps expertise make filters highly stringent.
Develop and implement AI and ML strategies aligned with business objectives and industry trends.
Lead the development, deployment, and lifecycle management of machine learning models using Google Cloud Platform's Vertex AI, ensuring scalable and optimized AI solutions.
Mentor and guide a team of data scientists, collaborating with stakeholders to enhance AI solution delivery and maintain AI literacy across the organization.
12+ years of industry experience with at least 8 years in data science solution delivery.
Bachelor’s degree in engineering or technology.
Expertise with supervised ML algorithms, optimization, and performance tuning; proficiency in Python, SQL, Spark, TensorFlow, and Google Cloud Platform including Vertex AI.
Experience in technical mentorship and Agile development methodologies (sprints, point estimation, daily stand-ups).
Proven leadership in AI solution delivery with ability to architect AI solutions and manage end-to-end model deployment lifecycle.
Strong technical expertise with Google Cloud Platform (Vertex AI, BigQuery, Composer, Cloud Storage) and ML Ops practices including containerization and data lineage.
Experience collaborating cross-functionally with business stakeholders and engineering teams to integrate AI solutions and maintain model performance post-production.