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Machine Learning Engineer As a Machine Learning Engineer within the newly created Data & Analytics team of BU FPS, your primary responsibility will be to design, develop, and deploy machine learning models that support artificial intelligence (AI), advanced analytics, and business intelligence requirements within Hilti's customer-facing software and service solutions. You will collaborate closely with data scientists, software engineers, and business stakeholders to build scalable ML pipelines, ensure model performance, and integrate ML solutions into production systems. What Youll Bring Possess a Bachelors/Masters Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication), Science & Technology, or equivalent; preference given to those with a Masters Degree.Have a minimum of 6 years of hands-on experience in leveraging AWS and/or other cloud providers and analytics platforms, with a proven track record of delivering sophisticated solutions.Experience with MLOps tools and frameworks for model versioning, deployment, and monitoring.Strong understanding of data preprocessing, feature engineering, and model evaluation techniques.Experience integrating ML models into production systems and working with APIs.Familiarity with CI/CD practices for ML workflows and automated testing of model performance and stability.Experience with AWS cloud-services like Sagemaker, Glue, Athena, Lambda and similarPrior experience in virtual team settings.Possess a keen problem-solving acumen, self-driven, and proactive.Exhibit exceptional communication skills in English, adept at engaging stakeholders at all levels.Demonstrate adeptness in managing multiple tasks under stringent timelines.Collaborative team player, adept at fostering synergy within diverse teams. 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. 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, were driven to keep learning, growing, and finding new ways to make a lasting impact. Here, youll be empowered to use your strengths, work with a global and inclusive team, and take on meaningful challenges. At Hilti, youll have the chance to make your ideas, achievements, and growth real through purpose, passion, and teamwork. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.