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Context

We are looking for an experienced AI & ML Data Engineer to strengthen the advanced analytics team. This team of data engineers and data scientists is responsible for developing advanced analytics and AI solutions in domains such as punctuality, stations, HR, and security.

Responsibilities
• Collaborate with infrastructure teams to set up and maintain scalable data science platforms on Azure.
• Design and implement complex data ingestion pipelines from multiple sources.
• Work closely with data scientists to operationalize machine learning models and put Large Language Models (LLMs) into production.
• Ensure the robustness, security, and performance of data platforms in collaboration with governance and operations teams.
• Actively contribute to the development of impactful use cases that support railway services.

Requirements (must-have)
• 3+ years of experience in data engineering and MLOps.
• Proven track record setting up data science platforms for large organizations (1,000+ employees).
• 3+ years of experience with Azure cloud services.
• Strong coding skills in PySpark, Python, SQL (3+ successful projects).
• Hands-on experience with CI/CD pipelines, infrastructure as code (Terraform or equivalent), and DevOps practices.
• Experience maintaining data pipelines in enterprise environments.
• Fluent English (C2).

Nice-to-have
• Experience deploying and maintaining GenAI models in production.
• Deep knowledge of data science use case development in enterprise contexts.

Soft skills
• Strong communication and collaboration skills.
• Proactive, solution-driven, and team-oriented mindset.Context

We are looking for an experienced AI & ML Data Engineer to strengthen the advanced analytics team. This team of data engineers and data scientists is responsible for developing advanced analytics and AI solutions in domains such as punctuality, stations, HR, and security.

Responsibilities
• Collaborate with infrastructure teams to set up and maintain scalable data science platforms on Azure.
• Design and implement complex data ingestion pipelines from multiple sources.
• Work closely with data scientists to operationalize machine learning models and put Large Language Models (LLMs) into production.
• Ensure the robustness, security, and performance of data platforms in collaboration with governance and operations teams.
• Actively contribute to the development of impactful use cases that support railway services.

Requirements (must-have)
• 3+ years of experience in data engineering and MLOps.
• Proven track record setting up data science platforms for large organizations (1,000+ employees).
• 3+ years of experience with Azure cloud services.
• Strong coding skills in PySpark, Python, SQL (3+ successful projects).
• Hands-on experience with CI/CD pipelines, infrastructure as code (Terraform or equivalent), and DevOps practices.
• Experience maintaining data pipelines in enterprise environments.
• Fluent English (C2).

Nice-to-have
• Experience deploying and maintaining GenAI models in production.
• Deep knowledge of data science use case development in enterprise contexts.

Soft skills
• Strong communication and collaboration skills.
• Proactive, solution-driven, and team-oriented mindset.

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