Machine Learning Engineer

Description -

Job Summary
• This role is responsible for designing, developing, and implementing machine learning models and systems to solve complex problems and improve processes. The role preprocesses and analyzes data to ensure high quality and implements appropriate machine learning algorithms. The role trains, validates, and optimizes models for performance and integrates models into production systems maintaining their performance.

Responsibilities
• Designs, develops, and modifies software systems, using scientific analysis and mathematical models to predict and measure the outcome and consequences of design.
• Develops descriptive, diagnostic, predictive, or prescriptive models through machine learning solutions.
• Builds processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Develops infrastructure and algorithms for the continuous integration of machine learning.
• Analyzes and processes large amounts of data to extract valuable information from various sources.
• Applies machine learning and statistical modeling techniques to business or research problems.
• Conducts basic experiments to train and evaluate machine learning models.
• Participates in forefront research in artificial intelligence and machine learning applications.


Education & Experience Recommended
• Four-year Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 0-2 years of work 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
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Impact & Scope
• Impacts own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.

Complexity
• Learns to apply basic theories and concepts to work tasks.

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.
 

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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"