Machine Learning Engineer ML Applications

Description -

Job Summary
This role is responsible for specializing in development and deployment of machine learning models that drive innovation and business value. The role researches and implements appropriate ML algorithms and tools runs machine learning tests and experiments and trains and retrains systems when necessary. The role contributes to deploying models in production environments and ensuring their seamless integration.

Responsibilities
Develops and programs integrated software solutions especially in support of the development deployment and life cycle of machine learning models.
Trains and validates models using appropriate evaluation metrics and techniques.
Optimizes and tunes hyperparameters to improve model performance and generalization.
Deploys machine learning models to production environments ensuring scalability reliability and efficiency.
Monitors and maintains deployed models making necessary updates to adapt to changing data or requirements.
Spearheads the design of ML systems experiments with ML algorithms and regularly trains systems for maximum efficiency.
Designs develops tests and maintains ML pipelines that efficiently produce scalable models.
Cooperates with CI/CD teams to ensure seamless deployment of models to production.
Partners with research and engineering teams to enhance automated model training techniques.
Applies machine learning and statistical modeling techniques to business or research problems.

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 4-7 years of work experience preferably in computer programming languages machine learning algorithms statistical methods or a related field or an advanced degree with 3-5 years of work experience.

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 multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity
Responds to moderately complex issues within established guidelines.

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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal