AI Engineering Manager

HP - Palo Alto, CA

Full-time - Mid Level

Palo Alto, CA

10,001+ employees

Computer and Electronic Product Manufacturing

About the position

ACS (Advanced Compute & Solutions) is seeking an AI Engineering Manager to lead ACS Software Development in our high growth, future-oriented businesses, including Data Science, AI and other emerging areas. This role will work with some of the most exciting up-and-coming products in HP. The AI Engineering Manager will support the teams in investigating new product concepts and building AI/ML solutions. To be a successful AI Engineering Manager, you should have experience in the same or similar role, managing all investigations and setting goals across the team. You should also demonstrate great leadership skills and be able to communicate the vision of the company across all levels. Ultimately, you will ensure that all business functions are in line with our strategic goals. The role offers an opportunity to help build processes for emerging business areas, drive the scaling of exciting technology and play an important role in creating the future of computing.

Responsibilities

• Lead and manage an interdisciplinary team of engineers, data scientists, and solution architects.
• Drive roadmap creation and execution of AI/ML solutions.
• Measure the impact of your team and set clear expectations and goals.
• Guide technical projects and provide leadership in engineering best practices.
• Work closely with the Product Management team and stakeholders to ensure we're building the best solutions serving the needs of our consumers.
• Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level.
• Participate in technical designs and code reviews.
• Present and evangelize solutions to internal teams and stakeholders.

Requirements

• 5+ years' experience as a people manager.
• 5+ years of experience working in Data Science, Computer Science, Software Engineering, or AI/ML algorithm development workflow and data analysis.
• Demonstrated experience recruiting and managing technical teams, including performance management.
• Proficiency in core programming languages and data science packaging: Python, Keras, Tensorflow, PyTorch, Pandas, Jupyter, etc.
• Prior experience with developing large high-volume services, with service-oriented development and cloud-based systems.
• Experience in problem solving, design, rapid prototyping, coding and debugging skill.

Nice-to-haves

• Familiarity with microservice architecture and standard development tool experience with git, linux, bas.
• Experience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc).
• Good communication skills and a track record of cross-group/cross-discipline collaboration.

Benefits

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance