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Mid-level generalist ML/AI role with popular title and moderate employer brand increases applicant density.
Production ML and cloud skills transfer across industries, but automotive dealership domain raises moderate sensitivity.
Explicit 2–5 years and mandatory production ML and cloud experience create strict shortlisting filters.
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Design, develop, and test software components and AI/ML solutions for automotive dealership platforms, including deploying and consuming LLM APIs.
Lead and improve system architecture focusing on scalability, performance, and reliability in cloud-based environments.
Mentor SDE I engineers and collaborate with business stakeholders to deliver impactful solutions.
2–5 years of experience in cloud-based software development with emphasis on scalability, performance, and reliability.
BTech or equivalent 4-year degree in Computer Science/Engineering; Tier 1/Tier 2 institutes preferred but not mandatory.
Hands-on experience in deploying and optimizing AI/ML solutions in production (preferred but influential).
Work Experience Required: 2–5 years in relevant software development roles.
Experienced in integrating AI/ML solutions within cloud-native software architectures, particularly with LLMs and Transformer-based models.
Comfortable working across multiple technology stacks including microservices, mobile development, and cloud platforms.
Able to lead technical mentorship and system architecture improvements, balancing speed and system reliability.