Back
Tier-1 employer, popular ML title, mid-level experience, and Bangalore location increase competition.
Deep learning and production ML focus create strong domain bias, limiting transferability across industries.
Explicit 4–7 years requirement plus deep learning and production ML skills creates strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Conduct advanced AI and machine learning research to apply cutting-edge techniques for complex business problems.
Design and architect scalable, high-performance AI solutions aligned with business requirements and constraints.
Provide technical leadership, mentorship, and collaborate with cross-functional teams to implement and improve AI/ML projects.
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or closely related quantitative discipline (Master's desirable).
4-7 years of relevant work experience in AI and machine learning.
Proficiency in programming languages such as Python, R, or Java; experience with software engineering practices and version control.
Deep understanding of machine learning algorithms, statistical foundations, and advanced deep learning architectures.
Experienced in independent research and staying current with the latest AI/ML developments with ability to translate into business impact.
Able to lead design reviews, mentor junior engineers, and provide constructive feedback within team settings.
Skilled at collaborating effectively with product managers, data scientists, and other stakeholders to align technical solutions with business goals.