AI ML Data Expert

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Job Summary

An AI/ML Data Expert is responsible for designing developing and deploying machine learning models and AI-driven solutions that enhance business intelligence automate processes and generate predictive insights. This role bridges the gap between raw data and actionable intelligence requiring deep technical expertise and strategic thinking.

This role is responsible for data collection procedures including accurate and relevant data for machine learning models extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.

Responsibilities

AI/ML Model Development
Design and implement machine learning and deep learning models.
Conduct model validation testing and refinement.
Apply NLP computer vision and predictive analytics for advanced insights.
Develop AI-driven solutions for automation and decision support.
Data Engineering & Analysis
Build scalable data pipelines and ETL processes.
Ensure data quality integrity and consistency.
Collaborate with stakeholders to understand data requirements.
Conduct exploratory data analysis and feature engineering.

Leads one or more project teams of other data engineers for all stages of design and development for complex secure and performant data solutions and models including design analysis coding testing and integration of structured/unstructured data.
Reviews and evaluates designs and project activities for compliance with architecture security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects programs and activities.
Drives innovation and integration of new technologies into projects and activities in the big data space.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data engineering team for all phases of larger and more-complex development projects.
Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
Builds and manages relationships throughout the organization.
Provides guidance and mentoring to less experienced staff members.

Education & Experience Recommended
Four-year or Graduate Degree in Computer Science Information Technology Software Engineering Statistics/ Mathematics or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 7-10 years of work experience preferably in data analytics data engineering data modeling or a related field.

Proficiency in Python R SQL Java.
Experience with ML frameworks: TensorFlow PyTorch Scikit-learn.
Familiarity with cloud platforms and big data tools (e.g. Spark Hadoop).
Strong grasp of model tuning algorithm optimization and data preprocessing.
Soft Skills
Analytical thinking and problem-solving.
Effective communication and teamwork.
Passion for innovation and continuous learning.

Preferred Certifications
Programming Language/s Certification (SQL Python or similar)

Knowledge & Skills
Agile Methodology
Amazon Web Services
Apache Hadoop
Apache Kafka
Apache Spark
Big Data
Computer Science
Data Analysis
Data Engineering
Data Modeling
Data Pipelines
Data Warehousing
Extract Transform Load (ETL)
Java (Programming Language)
Machine Learning
Microsoft Azure
Python (Programming Language)
Scala (Programming Language)
Scalability
SQL (Programming Language)

Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

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