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Tier-1 brand, generalist ML title, mid-level experience, and Bangalore location increase applicant competition.
Core ML engineering skills translate across industries though domain knowledge is somewhat networking-specific.
Explicit 4–9 years plus required ML, deep learning, and production-level engineering skills.
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Design, architect, and develop AI and machine learning solutions focusing on scalability, performance, and maintainability.
Conduct advanced AI/ML research, stay updated with latest advancements, and apply innovative techniques to solve complex business problems.
Provide technical leadership and mentorship to junior team members, collaborate with cross-functional teams and communicate technical solutions to stakeholders.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or closely related quantitative field; Master’s degree desirable.
4-9 years of relevant AI and machine learning work experience.
Onsite work required at an HPE office.
Proficient in programming languages such as Python, R, or Java; knowledge of machine learning frameworks like TensorFlow, PyTorch is a plus.
Experienced in designing and deploying advanced machine learning and deep learning models, including neural networks and complex algorithms.
Strong analytical background with solid knowledge of mathematics, statistics, and best software engineering practices.
Experienced in collaborating with multidisciplinary teams and able to lead projects with strategic technical decisions and mentorship roles.