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Strong Tier-1 brand, mid-level generalist ML role, metro location, and broad skill requirements increase applicant competition.
Core ML/AI skills are transferable, but advanced research and production experience favor domain specialists.
Explicit 4–9 years requirement plus advanced ML/DL and production experience narrows candidate pool.
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Develop and implement advanced AI and machine learning algorithms for product and system applications, ensuring scalability, performance, and maintainability.
Lead design and architecture of AI solutions addressing complex business problems by collaborating with cross-functional teams and stakeholders.
Provide technical leadership and mentorship to junior team members, and drive continuous AI/ML innovation and best practice adoption.
Bachelor's degree in computer science, engineering, data science, machine learning, artificial intelligence, or related quantitative discipline; Master’s degree desirable.
Work Experience Required: Typically 4-9 years relevant experience in AI and Machine Learning engineering.
Onsite work requirement: Primarily work from an HPE office.
Proficiency in machine learning algorithms, programming languages (Python, R, Java), and experience with software engineering best practices.
Experienced in designing scalable AI/ML solutions with practical application in a digital-first enterprise environment.
Able to translate complex technical specifications into production-grade code and communicate effectively with diverse stakeholders.
Demonstrates leadership in AI research and development, mentoring, and driving adoption of cutting-edge AI technologies and methodologies.