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Tier-1 brand, metro location, mid-level popular ML role, and broad skillset increase applicant competition.
Core ML and deep learning skills are transferable across industries, so background fit sensitivity is medium.
Explicit 4–9 years requirement plus deep learning and production ML stack makes filters relatively strict.
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Develop, design, and architect AI and machine learning algorithms and solutions that improve product/system performance and create predictive, proactive user experiences.
Drive innovation by conducting advanced AI/ML research, evaluating emerging technologies, and integrating third-party tools to enhance AI capabilities.
Provide technical guidance and mentorship to junior team members while collaborating with cross-functional teams and stakeholders to deliver scalable AI projects.
Bachelor’s degree in Computer Science, Engineering, Data Science, Machine Learning, AI, or related quantitative discipline (Master’s desirable).
4-9 years of relevant experience in AI and machine learning.
Proficiency in programming languages such as Python, R, or Java and familiarity with ML frameworks like TensorFlow, PyTorch, sci-kit, or Keras.
Role is onsite, primarily working from an HPE office in India.
Experienced in applying advanced machine learning techniques including deep learning architectures and statistical modeling for complex real-world problems.
Demonstrates ability to lead technical design, mentor junior engineers, and effectively communicate complex AI concepts to non-technical stakeholders.
Comfortable operating in a cross-functional environment partnering with product managers, data scientists, engineers, and business analysts to drive AI strategy and implementation.