Back
Tier-1 employer, metro location, mid-level generalist ML role increases applicant competition.
Core ML and deep learning skills transfer across industries, but product/networking context requires some domain knowledge.
Explicit 4–9 years plus deep learning, production-code and research requirements enforce strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and implement advanced AI and machine learning algorithms to enhance product/system performance and data analysis capabilities.
Design scalable, maintainable AI solutions aligned with business requirements and lead technical efforts including mentoring junior team members.
Collaborate with cross-functional teams and stakeholders to translate requirements into technical solutions and drive continuous innovation in AI/ML practices.
Bachelor's degree in computer science, engineering, data science, machine learning, AI, or related quantitative discipline; Master's degree desirable.
4-9 years of relevant work experience in AI and machine learning engineering or related fields.
Proficiency in programming languages such as Python, R, or Java, with experience in machine learning frameworks (TensorFlow, PyTorch, sci-kit, Keras).
Role requires working primarily onsite at an HPE office (onsite work requirement).
Experienced in advanced machine learning and deep learning techniques, including neural networks, transfer learning, generative models, and reinforcement learning.
Demonstrated ability to lead technical projects and mentor junior professionals with strong problem-solving and strategic decision-making skills.
Capable of translating complex AI/ML concepts to non-technical stakeholders and collaborating effectively across multidisciplinary teams.