Senior ML Engineer (f/m/d) - Procurement, Logistics, Factory

What we offer you 

• Attractive remuneration package 
• An environment where everyone can bring their whole self to work and feel a sense of belonging 
• 30 leave days and a variety of flexible working models that allow you to take time off for yourself and your family
• Share matching programs to become a shareholder of Siemens AG 
• Barrier-free locations 

Since each of over 300,000 employees feels that other benefits are particularly important, and we cannot list our entire benefit portfolio here, you can find more information here.  

The individual benefits are subject to regulatory, contractual, or corporate conditions. 

You’ll make an impact by 

• Model Development: Designing, developing, and implementing machine learning pipelines for various use cases in the domains of factory, procurement, and logistics.

• Technical Leadership: Providing expertise in ML engineering best practices, including data preprocessing, model training, evaluation, deployment, and incorporating MLOps and LLMOps approaches for scalable and maintainable solutions.

• Project Ownership and Management: Leading projects from conception to deployment, translating business requirements into scalable technical solutions, ensuring timely delivery and alignment with business objectives.

• Collaboration: Working closely with an international team of diverse backgrounds, including engineers, product managers, and other stakeholders, to integrate AI solutions into existing systems.

• Communication: Clearly articulating complex technical concepts to non-technical stakeholders and team members.

• Mentorship: Mentoring junior team members and contributing to the overall skill development within the team.

Your defining qualities 

• Education: Master degree in Computer Science, Data Science, Machine Learning, Mathematics, Statistics, Physics, or a related field

• Experience 

• Minimum of 5+ years of experience in machine learning engineering or data science roles
• Demonstrated ability to manage and deliver complex projects

• Technical Skills

• Strong Proficiency in programming languages such as Python
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Experience with cloud-native ML development (Azure, AWS)
• Strong understanding of computer vision techniques and tools
• Familiarity with large language models and natural language processing as well as experience with LLM frameworks (langchain, promptflow) 
• Proven ability to deliver end-to-end projects (i.e. from exploration to endpoint serving) 
• Knowledge of big data technologies (Snowflake, Spark)
• Experience with data visualization tools and libraries
• Knowledge of software development best practices, including version control (e.g., GitLab) and collaborative coding

• Ways of working

• Independent working style with a proactive approach to problem-solving
• High level of ownership and accountability for project outcomes
• Excellent teamwork and collaboration abilities
• Strong verbal and written communication skill
• Effective project management and organizational skills

• Languages: Fluent English required; German beneficial

You are much more than your qualifications, and we believe in the potential of every single candidate. We look forward to getting to know you!

Your individual personality and perspective are important to us. We create a working environment that reflects the diversity of the society and support you in your personal and professional development. Let’s get to know your authentic personality and create a better future together with us. As an equal-opportunity employer we are happy to consider applications from individuals with disabilities. 

About us

We empower our people to stay resilient and relevant in a constantly changing world. And we’re looking for individuals who are always seeking creative ways to grow and learn – people who want to make a real impact, both now and in the future. Does that sound like you? Then you’d be a great fit for our dynamic, international team.

www.siemens.de/careers – if you would like to find out more about jobs & careers at Siemens.  

FAQ  – if you need further information on the application process.