Designs, develops, tests, and deploys data models, feature pipelines, and scoring systems ensuring performance, reliability, and scalability.
Develops standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance.
Defines scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines.
Applies advanced subject matter knowledge, contributes to complex projects, and exercises independent judgment in resolving business issues and optimizing solutions.
Builds strong internal and external working relationships and provides mentoring and guidance to junior team members.
Education & Experience Recommended
Four-year or Graduate Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or any related discipline; or equivalent work experience.
Typically has 5–10 years of experience in machine learning, data science, or software engineering roles, preferably in large-scale or enterprise environments.
Preferred Certifications
Microsoft Azure AI Engineer Associate / Data Scientist Associate (preferred)
Databricks or equivalent platform certifications (good to have)
Knowledge & Skills
Agile Methodology
Application Development
Machine Learning (Supervised & Unsupervised)
Feature Engineering & Model Optimization
Model Evaluation (Accuracy, Precision, Recall, F1 Score, ROC-AUC)
Python (Programming Language)
SQL (Programming Language)
Distributed Computing (e.g., PySpark or similar)
Data Engineering & ETL Pipelines
API Development & Integration
Automation
Business Process & Requirements Analysis
Debugging & Performance Optimization
Cloud Platforms (e.g., Azure, AWS, GCP)
Data Visualization (e.g., Power BI or similar tools)
Software Development Lifecycle (SDLC)
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts functional and cross-functional teams by contributing technical expertise to AI/ML initiatives and supporting enterprise-scale analytics solutions.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors, including technical feasibility, scalability, and business impact.
- Job -
- Data & Information Technology
- 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"
