Python Engineer

ArcelorMittal Downstream Solutions is looking for a Python Engineer to join its Artificial Intelligence team located in Luxembourg.

Join our dynamic AI and data engineering team as a Python Engineer where you'll help power the next-gen wave of AI-driven automation and insights. If Python is your go-to, and you’re hyped about machine learning, data wrangling, and scalable backend services, you’ll thrive here. You’ll work on real-world AI applications in industries like manufacturing, finance, and logistics—helping build tools and platforms that don’t just collect data but make it smart. 

Key Responsibilities 

Develop production-ready, scalable Python code for: 

• Data ingestion, cleansing, transformation (ETL/ELT) 
• Workflow automation and task orchestration 
• RESTful APIs, microservices, and backend integrations 
• ML pipeline orchestration and AI model deployment 

Ensure secure, scalable, and cloud-optimized deployment on: 

• AWS (e.g. Lambda, S3, ECS, SageMaker) 
• Azure (e.g. Functions, Blob Storage, AKS, ML Studio) 

Collaborate with Data Scientists, ML Engineers, and DevOps teams to: 

• Implement end-to-end AI workflows 
• Containerize apps (Docker) and deploy using CI/CD tools 
• Integrate APIs and services across cloud and on-prem platforms 

Work with large-scale data frameworks like: 

• Apache Airflow, Luigi for orchestration 
• pandas, NumPy, Dask for data manipulation 
• scikit-learn, TensorFlow, or PyTorch (if diving into ML) 
• FastAPI, Flask, or Django REST Framework for backend dev 

Embrace software engineering best practices: 

• Unit testing with pytest, mocking, code linting 
• Git-based workflows, code reviews, and agile sprints 
• Documentation (Sphinx, MkDocs, or plain Markdown—it’s your canvas) 

Exposure to

• Building or consuming REST APIs 
• Basic Flask/FastAPI applications 
• Scikit-learn, TensorFlow, PyTorch, MLflow 
• Handling files (CSV, Excel, JSON, XML) 

Continuous Improvement

• Technology Evaluation: Staying up-to-date with the latest cloud technologies and trends. 
• Innovation: Exploring innovative cloud solutions to drive business growth and efficiency. 
• Feedback Loop: Gathering feedback from users and stakeholders to continuously improve cloud services. 
• Certification: Obtain industry recognized certifications 

Qualifications 

• Bachelor’s in CS, Engineering, or related field 
• Proficiency in Python 3.x and strong understanding of: 
  • OOP and functional programming 
  • Data structures and algorithmic thinking
• Comfort with essential Python libraries: 
  • scikit-learn, pandas, requests, json, os, datetime, logging 

Bonus Skills – Level Up! 

• Familiarity with cloud deployment tools and patterns (IaC, serverless, containers) 
• Security-first mindset (input validation, data encryption, secure API practices) 

Know-how in

• CI/CD tools: GitHub Actions, Azure DevOps, Jenkins 
• Secrets management: HashiCorp Vault, AWS Secrets Manager 
• Security testing: SAST/DAST, dependency scanning, container hardening 

Passion for AI/ML tools

• scikit-learn, TensorFlow, PyTorch, MLflow 
• Model deployment, versioning, and monitoring 

Team

• You will report directly to the Chief Artificial Officer
• You will join a team of 4 people located in Luxembourg and work with contacts in different locations
• Location: Kirchberg - The Stage

What we offer

• base salary, bonus, pension plan, lunch vouchers
• training plans
• flextime
• homeworking policy
• accessibility: our office is located in Kirchberg, near the city center and easily accessible per public transport (train, tram, bus, …)
• by joining our global group, you will have multiple development opportunities 

Please, note that only applications sent in English will be considered.