Advanced AI Scientist

HP Inc. • Spring, TX • 2h ago

This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability.

Responsibilities

Responsible for the architecture and technical leadership of the end-to-end AI ecosystem including multimodal data pipelines, LLM-based engineering copilots, agentic automation systems, and predictive models for product development monitoring.

Develop the full stack AI solution (LLMs, ML, agents, APIs, pipelines).

Design multi-agent workflows for automated monitoring, anomaly detection & reporting.

Establish LLM fine-tuning, evaluation, RAG, Semantic modelling(NLP/AI)and prompt engineering frameworks.

Integrate engineering domain data (mechanical, electrical, field, test logs).

Define MLOps, model governance, observability, and monitoring strategies.

Collaborate with product development & engineering teams to map use cases.

Skill Set Required

AI/ML AI Architecture & LLM

Large Language Models (fine-tuning, RAG, distillation)

Agentic AI frameworks (OpenAI agents, LangGraph, AutoGen, CrewAI)

Multimodal AI (text + time-series + telemetry + image)

Knowledge Graphs (Neo4j, RDF, GraphRAG)

End-to-end pipeline design

Vector DBs (Pinecone, Milvus, FAISS)

Cloud AI (Azure AI Studio, AWS)

Microservices & API integration

Machine Learning and Deep Learning

ReactJS, Java Script, Streamlit, Flask

MLOps

MLflow, Kubeflow, Airflow

Model monitoring, evaluation, CI/CD

Domain

Understanding product development lifecycle

Familiarity with mechanical/electrical engineering data formats

Education and Experience Required

Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.

Typically, has 7-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Preferred Certifications

Programming Language/s Certification (SQL, Python, or similar)

Additional Knowledge & Skills

Algorithms

Amazon Web Services

Apache Spark

Artificial Intelligence

Big Data

Computer Science

Data Analysis

Data Mining

Data Science

Data Visualization

Natural Language Processing

Predictive Modeling

Python (Programming Language)

SQL (Programming Language)

Statistical Modeling

Statistics

Power Platforms - PowerBI, PowerApps

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.

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.

Benefits:

HP offers a comprehensive benefits package for this position, including:

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies, including;

4-12 weeks fully paid parental leave based on tenure

11 paid holidays

Additional flexible paid vacation and sick leave (US benefits overview (https://hpbenefits.ce.alight.com/) )

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

HP Inc.

Go to Apply

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