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Hewlett Packard Enterprise is looking for a Senior Engineering Manager - AI/ML to lead teams, manage AI/ML strategies, and drive data-driven innovation. Responsibilities include developing software algorithms, optimizing machine learning technologies, overseeing strategic AI/ML projects, and collaborating with cross-functional stakeholders.
Job Responsibility:
Develop software algorithms to structure, analyze and leverage structured and unstructured data
Use machine learning and statistical modeling techniques to improve product/system performance, data management, quality, and accuracy
Apply, optimize, and scale deep learning technologies and algorithms
Document procedures for installation and maintenance
Perform testing and debugging
Define and monitor performance metrics
Translate customer requirements and industry trends into AI/ML products and systems improvements
Develop and drive the organization’s AI and machine learning strategy
Identify new opportunities for AI and machine learning applications
Oversee complex AI and machine learning projects from conception to deployment
Define project scope, objectives, timelines, and resource requirements
Manage cross-functional teams and project risks
Ensure delivery of high-quality results
Provide technical leadership, evaluate and implement advanced models and algorithms
Stay updated on advancements in AI and machine learning technologies.
Requirements:
Bachelor’s degree in computer science, engineering, data science, artificial intelligence, machine learning, or closely related quantitative discipline
7-15 years’ experience including 5 or more years of people management experience
Advanced Degree (Master’s or Ph.D.) strongly preferred
Strong problem-solving and analytical skills, with the ability to identify business opportunities, formulate strategies, and execute projects effectively
Excellent communication and presentation skills, with the ability to convey complex technical concepts to technical and non-technical stakeholders
Proven ability to manage multiple projects and priorities in a fast-paced environment, ensuring timely delivery and high-quality results
Experience with cloud platforms, big data technologies, and distributed computing frameworks is a plus
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning
Strong technical expertise in AI and machine learning algorithms, models, and tools, with proficiency in programming languages such as Python or R
Demonstrated leadership and management skills, with experience in leading and mentoring AI and machine learning professional teams.
Nice to have:
Experience with cloud platforms, big data technologies, and distributed computing frameworks
Advanced Degree (Master’s or Ph.D.)
Strong understanding of data privacy, security, and ethical considerations in AI and machine learning.
What we offer:
Comprehensive suite of benefits supporting physical, financial, and emotional wellbeing
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