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Mid-level ML role, popular title, and metro location increase candidate competition.
Skills are transferable across industries, though automotive preference increases domain specificity.
Explicit 4-7 years and specific Master's degree requirement make filters stringent.
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Lead design and implementation of advanced AI and machine learning algorithms to solve complex problems in the automotive domain.
Develop predictive models and algorithms using various supervised and unsupervised learning techniques to derive actionable insights.
Implement deep learning frameworks and advanced AI algorithms, including neural networks and decision trees.
4 to 7 years of work experience in Data Science or Artificial Intelligence roles.
Master of Technology (M.Tech) in Artificial Intelligence or Master of Science (M.Sc) in Data Science.
Proficiency in Machine Learning, advanced AI ML algorithms, and programming languages such as Python or R.
Experience or knowledge of Generative AI technologies and familiarity with Langgraph is preferred but not mandatory.
Experienced senior engineer capable of handling complex AI/ML algorithm design and implementation independently.
Strong foundation in statistical analysis, data manipulation, and real-world application of ML techniques across automotive or related domains.
Holds or is pursuing advanced certifications such as Certified Artificial Intelligence Practitioner (CAIP) or AWS Certified Machine Learning – Specialty.