Hilti

Hilti is investing massively into growing its software and service business and digitizing its customers’ processes. Our Business Unit Fastening & Protection Solutions (BU FPS) develops cutting edge end-to-end solutions for structural connections, MEP supports and fire protection. We see tremendous opportunities in leveraging data to automate and optimize design and engineering tasks for our customers (value engineering).

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.

Who is Hilti?

We provide leading-edge tools, technologies, software and services for the global construction sector. Hilti is a multicultural workplace with 125 different nationalities committed to global teamwork.

Business Unit FPS spans across several locations including Plano (Texas), Schaan (Liechtenstein), Pune (India) & Rotterdam (Netherlands). All locations have highly competent teams who work very closely together. Hilti`s BU FPS Software Development team is known for their focus on customer facing software solutions which helps customer to automate their process in construction.

What does the role involve?
As a Data Engineer, you will play a pivotal role in shaping data-driven innovation areas. Your mission is to design, develop and maintain robust big data pipelines that enable advanced analytics, business intelligence and automation. interact directly with various stakeholders (business team, data scientists, analytics teams) to understand the data demand in line with the customer use case and in turn, design and develop scalable ETL packages from the business source systems, including development of ETL routines, to bring these data into the data platforms.

The role will require you to:

- Design and implement scalable machine learning pipelines that transform raw data into actionable insights, ensuring alignment with business objectives and analytics needs.
- Develop and maintain robust model architectures, including feature engineering, training workflows, and performance optimization, while adhering to company-wide standards for data governance and model lifecycle management.
- Ensure model reliability and accuracy through rigorous testing, validation, monitoring, and continuous improvement of deployed models.
- Drive innovation and mentor others, by exploring emerging ML technologies, recommending enhancements to existing systems, and coaching junior team members to foster a culture of technical excellence.
- Collaborate closely with data engineers and data scientists to ensure seamless integration of data workflows and alignment of modeling efforts with analytical goals. 

Working together as a team, you will ensure the delivery of sustainable solutions that support the organization’s long-term goals while delivery maximum incremental short-term gains.

What do we offer?

Show us what you're made of and we'll offer you opportunities to move around the business - to work abroad, experience different job functions and tackle different markets. It's a great way to find the right match for your ambition and achieve the exciting career you're after.

We have a very thorough people review process, unlike any we know of in other businesses. We can pair talents with opportunities - developing our people in their current roles or challenging them to work in new places. It is how we find the right fit, further our teams personally and professionally, get the best value for each employee and increase the job satisfaction. Additionally, we also offer you a wide range of benefits.

Why should you apply? What you need is

Become a valuable member of our highly professional and international team of software experts and data scientists and meet the challenges of a global multinational company using latest technologies. You will have the freedom to act in the responsible area with career prospects in a dynamic environment, excellent opportunities to develop yourself to higher levels and wider range of knowledge Furthermore, 80% of our top positions are filled internally. We have a clearly defined career development track for every individual employee and an excellent team whom are duly rewarded by performance.

What you need is

• Possess a Bachelor’s/Master’s Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication), Science & Technology, or equivalent; preference given to those with a Master’s 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 similar
• Prior 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.