Back
Tier-1 brand, popular ML role, mid-level experience, and metro location increase applicant competition.
Role demands specialized ML/deep learning research and production experience, making backgrounds less transferable.
Explicit 4–7 years plus deep learning, production ML, and research requirements create strict screening.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead advanced research and design of AI and machine learning solutions targeting complex business problems.
Architect scalable, high-performance AI systems considering maintainability and integration with stakeholders across product management and data science.
Provide technical leadership and mentorship to junior engineers, driving continuous innovation and adoption of best practices in AI/ML projects.
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline (Master’s is desirable).
4-7 years of professional experience in AI and machine learning engineering.
Proficiency in machine learning algorithms and programming languages such as Python, R, or Java, with experience in production-level code and software engineering best practices.
Hybrid work model with approximately 2 days/week onsite at an HPE office (India location implied).
Experienced in applying advanced machine learning and deep learning techniques including neural networks, transfer learning, and reinforcement learning in real-world projects.
Demonstrates ability to translate business requirements into scalable AI/ML architectures and solutions with measurable impact.
Skilled in cross-functional collaboration and technical mentorship, capable of leading review sessions and delivering technical presentations to both technical and non-technical audiences.