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Machine Learning Engineer (AI Platform & Services)

Machine Learning Engineer (AI Platform & Services)

As a Machine Learning Engineer at Hilti, you will be part of our global AI Platform & Services team, building and operating scalable AI solutions that enhance personal, team and customer productivity and power business-critical applications.
You will work at the intersection of data science, software engineering, and platform engineering, turning advanced analytics machine learning models, and LLM-based applications into robust, production-grade solutions used across Hilti’s global value chain—from customer-facing digital products to internal decision-making systems.

What You'll do

Key Responsibilities
Develop & Deploy AI Solutions

  • Design, build, and deploy machine learning models and AI services at scale
  • Translate data science prototypes into reliable, production-ready pipelines
  • Implement end-to-end AI workflows (training, evaluation, deployment, monitoring)
Agent & GenAI Engineering
  • Design and implement agent-based systems and orchestration workflows (e.g., LangGraph or similar frameworks)
  • Apply prompt engineering and structured interaction patterns to improve solution reliability and quality
  • Build modular, reusable components for Prompt orchestration & Tool integration
Platform & Engineering Excellence
  • Contribute to Hilti’s AI MaaS (Model-as-a-Service) platform
  • Build reusable components and services (APIs, microservices) for AI solutions
  • Ensure high standards in code quality, testing & CI/CD & security & compliance
Operate & Scale AI Systems
  • Monitor performance, reliability, and data drift of ML models and LLM-based systems in production
  • Evaluate output quality, reliability, and consistency of AI systems
  • Improve scalability, cost-efficiency, and resilience of deployed solutions
  • Work with cloud-native architectures (Azure ecosystem)
Collaborate Across Functions & Partner closely with Data scientists, Product Owners & Software Engineers
Domain experts (e.g., marketing, logistics, construction software) Enable Reuse & Adoption
  • Contribute to standardization and reusable patterns within the AI platform
  • Support enablement of other teams through documentation, tooling, and best practices

What You’ll Bring

  • Education & Experience
  • Bachelor’s or master’s degree in computer science, Data Science, Engineering, or related field
  • 2–5 years of experience in Machine Learning Engineering, AI Engineering, Software Engineering, Data Engineering or Data Science.
  • Strong programming skills in Python
Preferred Experience with:
  • ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
  • Agent-based frameworks / orchestration tools (e.g., LangGraph, LangChain, or similar)
  • Data processing & retrieval (e.g., Pandas, Spark, RAG)
Preferred Experience building and deploying models using:
  • REST APIs / microservices
  • containerization (Docker)
  • CI/CD pipelines
  • Cloud & Platform
  • Experience with Azure (e.g., Azure ML, Azure OpenAI, Azure AI Foundry, Functions, Storage)
Familiarity with MLOps / LLMOps concepts:
  • model lifecycle management
  • monitoring & observability
  • automated retraining pipelines

Other Skills
  • Team player
  • Strong problem-solving and structured thinking
  • Ownership mindset and ability to work independently
  • Excellent communication skills in a global, cross-functional environment
  • Passion for building scalable, production-grade AI systems
  • Awareness of trade-offs and limitations of AI systems

What’s In It for You

We really value our people, and we've worked hard to develop a reward package that reflects this, creating your future to be just how you would want it. Some of our benefits include:

A caring and performance-oriented culture.
A recognized Great Place to Work 2025, which celebrates our commitment to a culture that values care, performance, and innovation for our greatest strength, our people.
Competitive rewards and comprehensive career development opportunities that ensure your success is our priority.

Why Hilti

Hilti is a global leader in construction innovation, with more than 34,000 team members across 120 countries. Guided by our purpose, Making Construction Better, we’re driven to keep learning, growing, and finding new ways to make a lasting impact. Here, you’ll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, you’ll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork.

Commitment to Inclusion

At Hilti, inclusion is a key focus in how we work, lead, and grow together. We are committed to embracing diversity of thought and creating an environment that is inclusive of everyone, everywhere. We continuously strive to ensure every voice is valued and every team member feels empowered to contribute. By building on this foundation, we strengthen our teams, our innovation, and our impact, making construction better together.

Learn more about us: https://careers.hilti.group/en
Learn more about our recruitment process: https://careers.hilti.group/en/candidate-interview-preparation/

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