# CO Strategic Initiatives AIML Expert

**Company**: HP Inc.
**Location**: Tlaquepaque, Jalisco
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Technology

**Apply**: https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Tlaquepaque-Jalisco-Mexico/CO-Strategic-Initiatives-Project-Manager_3166035-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_923f3caa-28c

## Description

HP's Applied AI team is looking for a Data Scientist to boost AI/ML adoption in Commercial Organization processes & activities.

The ideal candidate will shape HP’s future of how to solve concrete business problems with the use of data science, by joining a very dynamic, highly skilled and diverse global team who is pushing the innovation frontier in the way we use AI & automation solutions to solve our stakeholders’ challenges.

Working with us you will combine your modelling skills, business thinking, experimentation and optimization methods to build viable solutions for HP’s Commercial Organization.

**Main Responsibilities:**

- Accelerate GenAI & ML Adoption: Drive the adoption of Generative AI and Machine Learning technologies within HP’s Commercial Organization by identifying high-value business challenges and developing scalable, impactful solutions that enhance productivity, decision-making, and innovation.

- Use Case Validation & Reusability: Collaborate with the AI & Automation Product Owner to validate backlog priorities, assess technical feasibility, and determine whether existing ML or GenAI assets can be scaled or adapted for new use cases.

- End-to-End Solution Delivery: Partner with cross-functional teams,including data scientists, ML/GenAI engineers, data/cloud experts, and RPA developers,to turn business problems into viable, sustainable solutions using ML algorithms or GenAI architectures.

- Stakeholder Engagement: Work directly with business stakeholders to understand their needs, translate them into solution requirements, and provide actionable recommendations that align with business strategy.

- Model Development & Deployment: Design and build both predictive ML models and GenAI solutions,from data preprocessing and feature engineering to model development, fine-tuning, evaluation, and deployment,leveraging Azure, Databricks, and other enterprise platforms.

- GenAI-Specific Capabilities: Architect and implement Retrieval-Augmented Generation (RAG) systems, fine-tune LLMs, and apply advanced prompt engineering techniques to build chat-based tools, search augmentation solutions, and virtual assistants that deliver real business value.

- Performance Monitoring & Validation: Conduct rigorous model evaluation and performance monitoring for both ML and GenAI models to ensure reliability, fairness, and compliance.

- Communication of Insights: Translate complex ML/GenAI outcomes into business-friendly insights and visualizations.

- Community Engagement & Coaching: Mentor junior team members and citizen developers, sharing GenAI/ML knowledge, reusable assets, and architectural patterns.

- Innovation & R&D: Stay updated with the latest research in ML and GenAI.

**Job Requirements:**

- Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Mathematics, Physics, Engineering, or a related quantitative field.

- Experience: Typically, 6–8 years of hands-on experience developing and deploying ML and/or GenAI solutions in a business context.

- Programming & Development: Proficiency in Python for data manipulation, model development, and integration.

- Cloud & Platform Expertise: Strong hands-on experience with Azure services.

- ML/AI Model Development: Ability to design, train, and deploy supervised and unsupervised ML models.

- GenAI & NLP: Familiarity with Large Language Models (LLMs), prompt engineering, vector databases, and Retrieval-Augmented Generation (RAG) architectures.

- Applied Statistics & Algorithms: Solid grasp of statistical modeling, feature engineering, and machine learning algorithms.

- Business Acumen: Proven ability to understand business needs and align AI/ML solutions with strategic goals.

- Collaboration & Communication: Comfortable working in cross-functional teams.

**Preferred Skills:**

- Experience with MLOps and model lifecycle management.

- Exposure to ethical AI practices, responsible AI frameworks, or compliance in enterprise settings.

## Skills

### Required
- Python
- Azure
- Machine Learning
- Generative AI
- Large Language Models
- Prompt Engineering
- Vector Databases
- Retrieval-Augmented Generation
- Statistical Modeling
- Feature Engineering
- Business Acumen
- Collaboration
- Communication

### Nice to have
- MLOps
- Model Lifecycle Management
- Ethical AI Practices
- Responsible AI Frameworks
- Compliance

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Source: [Apply at hp.wd5.myworkdayjobs.com](https://hp.wd5.myworkdayjobs.com/en-US/ExternalCareerSite/job/Tlaquepaque-Jalisco-Mexico/CO-Strategic-Initiatives-Project-Manager_3166035-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)