AI & Data Analytics Engineer

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• Exclusive Resume Review Receive expert feedback with personalized suggestions to enhance your resume., * 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., * 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.

• 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.

• A truly international experience: Work in a global organization with colleagues from 60+ nationalities, collaborating across cultures and geographies.

• Continuous growth & career development: Multiple internal mobility and career opportunities, supported by HP's learning platform to keep growing your skills.

• Competitive benefits package, including:

• Hybrid work model (home office / office), depending on the role/functions

• Health & Life insurance

• Ticket Restaurant Vouchers or lunch at reduced prices at our canteen

• Flexible working hours to support work-life balance

• HP Flex Program: Kindergarten vouchers & Transport Card

• Exclusive HP products offers and discounts for employees, friends and family

• Inclusion & belonging at the core: Join our global employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility, with opportunities to get involved locally.

• Give back to the community: Participate in volunteering initiatives or join our annual HP Charity Day held onsite.

• Stay active & energized: Access our sports center (indoor & outdoor) with 25+ coordinated activities.

• Onsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health.

• Creativity & innovation: Enjoy our Printing Happy Hour-from photos to large posters-and hands-on workshops using the latest printing technologies, from wall covers to 3D printing.

• Easy commuting: Free parking available or excellent access via nearby train services.

• Women Network initiatives: Networking events, STEM promotion, business acumen talks, work-life balance sessions, and future-skills development.

Job - Services

Schedule - Full time

Shift - No shift premium (Spain)