AIML Engineer

Description -

Job Summary

This role is responsible for designing and developing advanced AI/ML solutions to solve complex business problems. The role applies deep technical expertise to build scalable models data pipelines and intelligent systems while ensuring consistency quality and alignment with enterprise standards. The role contributes to complex initiatives collaborates across global teams and mentors junior team members to drive adoption of data-driven solutions.

Responsibilities

Demonstrates proficiency in designing developing and deploying machine learning models (e.g. regression classification ensemble methods) to address complex analytical problems.
Represents the team in cross-functional engagements with business engineering and analytics stakeholders providing technical leadership in AI solution design and implementation.
Applies extensive technical knowledge to develop and maintain scalable data pipelines and ML workflows across modern data platforms (e.g. cloud-based environments distributed processing systems).
Applies organizational and third-party technologies to build complex AI-driven solutions independently implementing end-to-end pipelines from data ingestion to deployment.
Integrates technical expertise with business understanding to deliver impactful insights collaborating with stakeholders to translate model outputs into actionable outcomes.
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 510 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.

Sales&Services entity

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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).

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