Back
Senior, specialized ML role with metro location and hybrid/remote flexibility creates moderate applicant density.
Strong transferable ML skills exist but required retail domain proficiency increases industry specificity.
Explicit 12+ years requirement, mandatory Vertex AI/GCP and retail domain skills enforce strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement AI and machine learning strategies aligned with business objectives, ensuring use of leading AI platforms and tools.
Lead the development, deployment, and maintenance of machine learning models on Google Cloud Platform's Vertex AI, overseeing the full AI solution lifecycle including MLOps.
Mentor and guide a team of data scientists, collaborate with stakeholders to integrate AI solutions into business processes, and manage post-production model performance.
Bachelor’s degree in Computer Science, Statistics, or Applied Mathematics from a Tier 1 institute.
Minimum 8+ years in data science with overall 12+ years of industry experience.
Proficiency in AI solution delivery, Google Cloud Platform (Vertex AI, BigQuery, Composer, Cloud Storage), Python, SQL, Spark, TensorFlow, and ML ops practices.
Experience in Retail domain (Supply Chain or Commercial) and Agile development methodologies.
Demonstrated expertise in AI solution architecture with hands-on experience in Google Cloud Platform and MLOps techniques.
Strong leadership capabilities in mentoring data science teams and managing cross-functional stakeholder relationships.
Proven ability to deliver scalable, production-grade AI models in retail-related business contexts, driving strategic AI adoption.