AI & Data Analytics Engineer
Role details
Job location
Tech stack
Job description
end-to-end AI pipelines from data ingestion to deployment using organizational and third-party technologies. - Collaborate with stakeholders to translate model outputs into actionable insights. - Design, develop, test, and deploy data models, feature pipelines, and scoring systems, ensuring performance, reliability, and scalability. - Create standards, reusable templates, and best practices for model development, feature engineering, and evaluation to ensure consistency and governance. - Define scope, plans, and deliverables for assigned components, ensuring alignment with project objectives and timelines. - Contribute to complex projects, exercising independent judgment to resolve business issues and optimize solutions. - Build strong internal and external working relationships and mentor junior team members. Education & Experience - Four-year or graduate degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or related discipline; or equivalent work
Requirements
experience. - Typically 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 - SQL - Distributed Computing (e.g., PySpark) - Data Engineering & ETL Pipelines - API Development & Integration - Automation - Business Process & Requirements Analysis - Debugging & Performance Optimization - Cloud Platforms (Azure, AWS, GCP) - Data Visualization (Power BI or similar) - 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. Job Details Job - Services Schedule: Full time, Shift - No shift premium (Spain). Travel - Relocation. What We Offer - 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) - Exclusive HP products offers and discounts for employees, friends and family - Inclusion & belonging at the core: Join our integral employee networks such as Women, Pride, Inclusion, NextGen, Sustainability & DisAbility - Volunteer opportunities and annual HP Charity Day - Access to sports center (indoor & outdoor) with coordinated activities - Onsite medical services: Doctor and medical team available for annual checkups, nutrition, oral hygiene, physiotherapy, and general health - Printing Happy Hour and hands-on workshops with latest printing technologies - Free parking or excel