Advanced AI Scientist

Description -

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.

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)

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.

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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 HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"

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