AI Engineering Manager

Key Skills

Aartificial intelligence, Apache Kafka, AWS, CNNs, Data Analysis, Data science techniques, Design, GANs, Jupyter Notebook, Keras software library, Machine learning techniques, Pandas, Python Programming, PyTorch, RNNs, TensorFlow

Job Description

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:

Technical/Engineering Management:

• Successful track record of leading and managing interdisciplinary team of engineers, data scientists and solution architects
• Highly technical and an effective people manager
• Be a subject matter expert in a product domain with high autonomy in AI strategy and adoption
• Drive roadmap creation and execution of AI/ML solutions
• Understanding organizational needs for performing exploratory data analysis (EDA), building / validating models, and deploying models into production
• Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area 
• Measure the impact of your team and set clear expectations and goals 

Agile & Collaboration Process

• Experience with agile development process, including scheduling and estimation of AI/ML software project tasks. 
• Guide technical projects and provide leadership in engineering best practices
• Contribute technically to projects, participate in code reviews, invent and streamline processes 
• Work closely with the Product Management team and stakeholders to ensure we're building the best solutions serving the needs of our consumers 
• Work with your team and cross functional partners to define and influence strategy 
• Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level 

• Participate in technical designs 
• Work effectively with cross functional partners and stakeholders to set and achieve optimal outcomes 
• Partner with leadership to influence and drive org design, contribution and prioritization 
• Present and evangelize solutions to internal teams and stakeholders 

Education and Experience Required:

• 3+ years experience as a people manager 
• 5+ years of experience working in Data Science, or Computer Science, or Software Engineering, or AI/ML algorithm development workflow and data analysis
• Demonstrated experience recruiting and managing technical teams, including performance management 

Knowledge and Skills:

• Prior experience with developing large high-volume services, with service-oriented development and cloud-based systems. 

Hard Skills

• Proficiency in core programming languages and data science packaging: Python, Keras, Tensorflow, PyTorch, Pandas, Jupyter, etc

• Proficiency with traditional ML and deep learning techniques: CNNs, RNNs, LSTMs, GANs, model tuning, and validation of developed algorithms
• Familiarity with microservice architecture and standard development tool experience with git, linux, bash
• Experience in problem solving, design, rapid prototyping, coding and debugging skills
• Experience in industry tooling (AWS, Kafka, K8s, Python Notebooks, ML Orchestration, etc) 

Soft Skills

• Good communication skills and a track record of cross-group/cross-discipline collaboration
• Collaboration skills and ability to be adaptable and agile in development 
• Track record of guiding teams through unstructured technical problems to deliver business impact 

• Strong understanding of data and/or ML fundamentals 

HP offers a comprehensive benefits package, including:

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

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $116900 – $180000 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.