Principal AI Solutions Engineer

About the job

Principal AI Solutions Engineer Description - Job Summary • This role is responsible for leading a team of machine learning engineers and data scientists to drive the development and deployment of advanced machine learning models and solutions. The role collaborates with cross-functional stakeholders, defines project roadmaps, allocates resources, and ensures the successful execution of machine learning initiatives. The role is pivotal in transforming data into actionable insights that contribute to business growth and innovation.

Responsibilities • Provides direct and ongoing leadership for an organization of multiple subordinate managers and individual contributors that design, deploy, maintain and monitor machine learning based algorithms and systems. • Collaborates with software engineering and DevOps teams to integrate models into production systems. • Monitors and maintains deployed models, making updates as necessary to accommodate changing data or requirements. • Manages headcount, deliverables, schedules, and costs for multiple ongoing projects and programs, ensuring that resources are appropriately allocated and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps. • Engages with stakeholders to communicate program status, escalate issues, and guide and influence strategic decision-making. • Manages relationships with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating with outsourced resources. • Proactively identifies opportunities for process improvement and cost reductions opportunities. • Provides overall people-care management for direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development. • Drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development.

Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 10+ years of job-related experience or 8-10 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.

Preferred Certifications • AWS Certified Machine Learning Specialty

Knowledge & Skills • Agile Methodology • Algorithms • Amazon Web Services • Apache Spark • Artificial Intelligence • Automation • Big Data • C++ (Programming Language) • Computer Science • Data Science • Deep Learning • Java (Programming Language) • Machine Learning • Microsoft Azure • Natural Language Processing • Python (Programming Language) • PyTorch (Machine Learning Library) • Scikit-learn (Machine Learning Library) • Software Engineering • TensorFlow

Cross-Org Skills • Customer Centricity • Prioritization • Resilience • Team Management • Strategic Thinking

Impact & Scope • Impacts large functions and leads projects requiring knowledge of multiple disciplines or areas of HP.

Complexity • Uses managerial concepts and company objectives to resolve highly complex issues in creative and effective ways. May achieve goals through subordinate supervisors.

Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job - Software Schedule - Full time Shift - No shift premium (India) Travel -

Relocation - Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s   EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "