Location

Location India Region Maharashtra City Pune Career Area IT, Software & Digital Experience Level Experienced Professionals Job ID WD-0041241

Description and requirements

What's the role?

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) and Rotterdam (Netherlands). All locations have highly competent teams who work very closely together. Hilti's BU FPS Software Development team is known for its focus on customer-facing software solutions which help customers automate their processes in construction.

What Does the Role Involve?

As a Machine Learning Engineer, you will play a pivotal role in shaping data-driven innovation across Hilti.

Your mission is to design, develop, and deploy production-grade ML and GenAI solutions that enable advanced analytics, intelligent automation, and data-driven decision-making. You will interact directly with various stakeholders — business teams, data scientists,



and analytics teams — to understand requirements, translate them into scalable ML systems, and deliver measurable business impact.

The role will require you to:

- Design and implement scalable ML pipelines for both traditional ML and GenAI use cases, covering data preprocessing, feature engineering, model training, evaluation, and deployment to production.
- Apply MLOps and GenAIOps best practices for model versioning, experiment tracking, automated deployment, monitoring, and lifecycle management — ensuring models stay performant over time.
- Ensure model reliability and accuracy through rigorous testing, validation, drift detection, and continuous improvement of deployed models in real-world conditions.
- Collaborate closely with data engineers and data scientists to ensure seamless integration of data workflows, high-quality feature pipelines, and alignment of modeling efforts with analytical and business goals.
- Drive innovation and mentor others by exploring emerging ML and GenAI technologies, recommending enhancements to existing systems, and coaching junior team members to foster a culture of technical excellence.

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

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 job satisfaction. Additionally, we also offer you a wide range of perks.

Why should you apply?

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 the latest technologies. You will have the freedom to act in the responsible area with career prospects in a dynamic environment and excellent opportunities to develop yourself to higher levels and a 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 who 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

📌 Machine Learning Engineer (India)
🏢 Hilti
📍 India