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Tier-1 brand, popular ML role, mid-level experience, broad skillset, and metro location increase competition.
Requires automotive domain experience plus ML/AI specialization, making backgrounds less transferable across industries.
Explicit 2+ years requirements and multiple mandatory technical capabilities increase shortlist filtering.
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Develop and deploy end-to-end large scale data science and AI products to extract insights from structured and unstructured data.
Lead in AI/ML modeling, including building and deploying models using frameworks like TensorFlow, Keras, PyTorch, and integrating with GCP services such as Vertex AI, Google Kubernetes Engine, Cloud Run, and Cloud Functions.
Create ETL processes, work on data engineering tasks, and produce visualizations to support decision-making and influence product/service improvements.
Bachelor’s Degree in Data Science, Predictive Analytics, Statistics, Applied Mathematics, IT, or related field.
Minimum 2 years work experience with statistical methods and applications including regression, cluster analysis, and data modeling.
At least 2 years experience in Automotive, Transportation, Digital Business, or Analytics Consulting.
Experience working in cross-functional agile product teams and delivering executive presentations.
Experienced in leading AI/ML technical discussions and making solution tradeoffs for feature implementations in analytics.
Proficient with open source data science tools (Python, R, Spark, SQL, Hadoop) and commercial BI/analytics tools (Alteryx, Qlikview, Tableau).
Hands-on expertise with Google Cloud Platform AI/ML services, containerization (GKE), serverless architectures, and CI/CD pipeline implementation.