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Popular ML role, metro Hyderabad location, and broad required skillset raise competition.
Requires automotive/industrial and structures/vibrations expertise, limiting cross-industry transferability.
Explicit 5+ years, required automotive domain experience and mandatory tech stack increase strictness.
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Develop AI and machine learning solutions from inception through deployment to support virtual tire development processes.
Perform large-scale data analysis including data exploration, feature engineering, modeling, and visualization within a global data driven engineering organization.
Collaborate with data scientists, engineers, and cloud architects to scale prototypes into production-quality digital solutions and influence best data driven engineering practices globally.
M.Sc. in Data Science, Mathematics, Statistics, or a similar technical field; Ph.D. preferred or equivalent experience.
Minimum 5+ years of experience in machine learning and advanced data analysis on large datasets.
At least 1 year of experience in automotive or industrial sector focused on structures, vibrations, and acoustics.
Proficiency in Python, SQL, software development tools (GitHub, Docker, Kubernetes, Jenkins), and cloud platforms (AWS or MS Azure).
Experienced in applying machine learning techniques and statistical methods including supervised/unsupervised learning, deep neural networks, Bayesian inference, and uncertainty quantification.
Familiar with data systems, data architecture, and business analytics in a manufacturing or technical environment.
Capable of working independently and collaboratively in cross-functional global teams, delivering production-level data science solutions.