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Tier-1 brand, metro location, entry-level ML role with broad skillset increases applicant competition.
AI platform and ML engineering skills are transferable across industries but require ML-specific expertise.
Strict GPA cutoff and degree expectation plus specific AI/backend skills tighten screening.
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Design, develop, and validate embedded and cloud edge software and applications for next-generation AI-enabled products.
Collaborate with cross-functional teams including systems, hardware, architecture, and test engineers to design system-level AI software solutions.
Contribute to building scalable enterprise AI platforms, AI agents, LLM applications, and AI infrastructure supporting engineering productivity and automation.
Bachelor's degree in Engineering, Computer Science, Information Systems, or related field; Master's degree preferred.
Work Experience Required: 0–1 year; exceptional fresh graduates encouraged to apply.
Strong foundation in Data Structures & Algorithms, Operating Systems, Computer Networks, DBMS, and Object-Oriented Programming with ability to write clean, efficient, scalable code.
Preferred programming languages include Python, Java (preferred), and C++; familiarity with backend development, REST APIs, and AI technologies beneficial.
Early-career candidate with strong academic record (CGPA/GPA 8.5+) from reputed institution and foundational CS knowledge.
Capable of developing backend AI software solutions involving modern frameworks, microservices, and distributed systems.
Demonstrates strong problem-solving skills with an interest and/or experience in AI, ML fundamentals, Generative AI, and cloud-native software development.