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Tier-1 employer, metro location, and attractive mid-level ML role increase candidate competition.
Core ML/AI skills are broadly transferable across industries despite automotive domain specifics.
Explicit 6+ years of hands-on ML requirements and technical skills enforce strict screening.
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Lead technical delivery of AI/ML projects from problem framing to deployment and business integration.
Work directly with business partners to translate complex issues into scalable machine learning solutions providing actionable insights.
Mentor junior data scientists and enhance analysis efficiency, accuracy, and robustness through advanced analytics and model design.
Bachelor’s degree in Data Science, Computer Science, Operational Research, Statistics, Applied Mathematics, or related engineering discipline.
6+ years of hands-on experience in Python programming for data analysis and machine learning/generative AI.
6+ years of experience with data modeling, data mining, machine learning algorithms or statistical analysis.
2+ years experience in SQL programming and relational databases.
Senior-level individual contributor with strong experience driving end-to-end AI/ML technical projects in collaboration with business stakeholders.
Expertise in Python with substantial practical exposure to machine learning and data mining techniques including advanced probabilistic and numerical methods.
Proven ability to mentor others and stay updated on latest data science, machine learning methods and tools, ideally with knowledge of cloud ML platforms like Google Cloud and experience working with large language models.