ML Engineer

Req ID: 476148

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, more than 80 000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Could you be the ML Engineer that we are looking for?

In this role, you will be responsible for establishing and implementing the company’s AI Data Models.

We will look to you to:

• Design and develop data science pipelines from data ingestion, processing, and visualization, to model building, evaluation, and finally deployment.
• Utilize popular data science libraries such as Pandas, NumPy, and scikit-learn, pytorch, tensorflow, openCV, etc.
• Implement data indexation and vector database solutions using libraries such as langchain or azure search to enable efficient querying and retrieval of large datasets.
• Develop and deploy chatbots and conversational AI systems using natural language processing (NLP) libraries such as NLTK, spaCy, langchain, huggingface(transformers), AzureOpenAI APIs, LLM evaluation librairies (ragas, etc.), etc.
• Collaborate with data scientists and engineers to integrate machine learning models into production systems.
• Design and implement data quality and governance frameworks to ensure data accuracy, completeness, and compliance with regulatory requirements.
• Develop and maintain data visualization dashboards using libraries such as Matplotlib, Seaborn, Plotly, or using tools like PowerBI, etc. to communicate insights and trends to stakeholders.
• Collaborate with cross-functional teams, including data engineering, software engineering, and product management, to drive business outcomes and deliver high-quality solutions.
  
  

All About You

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill.

Instead, we’ve listed some that we think will help you succeed and grow in this role:

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• At least 1 year of experience in data science, machine learning, NLP, computer vision, or software engineering, with a focus on data science.
• strong problem solving skills.
• Strong programming skills in languages such as Python, R, or SQL.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Knowledge of LLM (Large Language Model) and NLP concepts, and experience with developing NLP-based applications: RAG pipeline architecture and data indexation/vector database solutions.
• Familiarity with cloud-based data science platforms such as Azure Machine Learning, Dataiku, etc.
• Understanding of data quality and governance principles, and experience with implementing data quality frameworks.
  
  

Things you’ll enjoy

Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experience throughout your career. You will collaborate with transvers teams and helpful colleagues, contribute to innovative projects, the possibility to steer your career in multiple directions across functions and countries, benefit from our investment in your development through award-winning learnings and benefit from a fait and dynamic reward package that recognize your performance and potential.

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

Important to note

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.