AI & Data Engineering

Hewlett-packard
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Shift work
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Data analysis
Software Applications
Code Review
Information Engineering
DevOps
Machine Learning
Meta-Data Management
Management of Software Versions
Large Language Models
Build Management
Data Pipelines

Job description

In this role you will build scalable data platforms and AI-ready systems to power intelligent products and industrial solutions. You will work at the intersection of software, data engineering, and applied AI, delivering reliable, secure, and observable systems for advanced analytics, ML, and LLM use cases. You'll collaborate with cross-functional teams to create data products with measurable impact and scale AI-enabled workflows in additive manufacturing. This is a hands-on role with clear business outcomes and opportunities to influence product and platform direction., * Design and build scalable data pipelines, models, and services for analytics, ML, and AI in production

  • Improve data quality through automated validation, monitoring, lineage, and observability
  • Prepare and optimize structured and unstructured datasets for analytics, ML, and LLM use cases
  • Partner with product, analytics, and business stakeholders to deliver data products with measurable impact
  • Develop AI-ready datasets, reusable data assets, and robust data preparation workflows
  • Support ML and LLM use cases with traceability, versioning, metadata management, and governance
  • Apply modern engineering practices and AI-assisted development to improve delivery speed and output quality
  • Design, develop, and maintain production-grade software applications, services, and APIs
  • Build and operate platform components to simplify deployment and usage of data and AI solutions across the organization
  • Review code, address performance and reliability issues, and improve system resilience and maintainability
  • Collaborate with engineering, DevOps, QA, analytics, and business teams to deliver high-quality production solutions

Requirements

  • 4-7 years of experience in software or data engineering or related roles
  • Strong track record of delivering production systems

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