Machine Learning Engineering - Intern

Unlock Your Potential at Akselos!

If you are passionate about applying cutting-edge Machine Learning to real-world engineering challenges and eager to build intelligent systems, consider joining Akselos as our Machine Learning Engineering - Intern. This pivotal role within our R&D team will contribute to advancing the state-of-the-art in Digital Twin analytics.

About Akselos:

Akselos is a pioneer in digital technology, revolutionizing the energy industry with our state-of-the-art simulation engineering software. Headquartered in Europe with a strong presence across Southeast Asia and the USA, we specialize in protecting critical infrastructure. Our software supports structural health monitoring, offers engineering services for building digital twins, and provides a collaborative platform for engineers, contractors, and operators, making us a leader in modern engineering solutions.

About This Role:

As a Machine Learning Engineering - Intern within our R&D Department, you will be instrumental in developing and integrating ML-driven solutions for structural Digital Twins. Working with real-time sensor data and high-speed simulation outputs, you will design and implement intelligent pipelines to automatically detect anomalies and predict critical fatigue events, translating complex analysis into clear, actionable insights for end users.

Key Responsibilities:

• Design and implement Machine Learning models to analyze time-series sensor data, identifying abnormal operating conditions and critical fatigue cycles.


• Integrate developed ML models into our Digital Twin framework to enable near real-time analysis.


• Leverage Large Language Models (LLMs) to generate concise, human-readable status reports, alerts, and recommended actions for operators.


• Validate algorithms against historical case studies and refine models based on feedback from engineering experts.


• Collaborate closely with software engineers and domain specialists to ensure solutions are robust, scalable, and production-ready.


• Contribute to delivering a prototype pipeline for ingesting live sensor feeds, flagging critical conditions automatically, and generating natural-language notifications.

Your Qualifications and Experience:

• Currently pursuing a Master’s degree in Computer Science, Machine Learning, Data Science, or a related quantitative field.


• Machine Learning & Data Science:
  
  
  
  • Hands-on experience with Python data libraries (NumPy, Pandas) and ML frameworks (scikit-learn, PyTorch or TensorFlow).
  
  
  • Familiarity with time-series analysis and anomaly detection techniques.
  
  
  
  


• Software Development:
  
  
  
  • Strong coding skills in Python, including experience with unit testing and version control (Git).
  
  
  • Comfortable working within a larger Python codebase.
  
  
  
  


• Analytical & Collaborative Mindset:
  
  
  
  • Excellent problem-solving skills and strong attention to detail.
  
  
  • Good communication skills in English, both written (clear reports) and verbal (presenting technical results).
  
  
  • Experience working in multidisciplinary teams is a plus.
  
  
  
  


• Preferred skills:
  
  
  
  • Basic understanding of finite element methods and/or structural mechanics, fatigue.
  
  
  • Experience calling and fine-tuning or prompt-engineering large language models (OpenAI API or similar)
    
  
  
  
  
  
  
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Why Choose Akselos?

• Culture of Excellence: Engage with a team that values breakthrough innovations and operational efficiency.


• Impactful Contribution: Engage in work that matters. Your contribution at Akselos has the potential to significantly shape the Company’s future.

We Offer:

• A challenging and rewarding internship experience within a cutting-edge R&D environment.


• Opportunity to gain hands-on experience applying advanced ML techniques to real-world industrial problems in Digital Twins.


• Close collaboration with experienced software engineers, and domain specialists.


• Exposure to a professional software development environment and MLOps practices.


• The chance to deliver a tangible prototype system by the end of the internship.


• A supportive team environment in our Lausanne, CH location where your contributions are recognized and valued.

Join us today!

We invite you to submit your CV and Cover Letter in English for the Machine Learning Engineering - Intern position on our career portal.

Akselos is an equal-opportunity employer committed to building a diverse and inclusive workforce. We appreciate all applicants' interest, but only selected candidates will be contacted for an interview.