Python Engineer

Luxembourg
CDI
Temps-plein

Il y a 2 mois

Job Category: AutomationJob Description: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 ResponsibilitiesDevelop 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.About Us:ArcelorMittal is the world's leading steel and mining company, with a presence in 60 countries and primary steelmaking facilities in 16 countries. In 2022, ArcelorMittal had revenues of $79.8 billion and crude steel production of 59.0 million metric tonnes, while iron ore production reached 45.3 million metric tonnes. Our purpose is to produce ever smarter steels that have a positive benefit for people and planet. Steels made using innovative processes which use less energy, emit significantly less carbon and reduce costs. Steels that are cleaner, stronger and reusable. Steels for electric vehicles and renewable energy infrastructure that will support societies as they transform through this century. With steel at our core, our inventive people and an entrepreneurial culture at heart, we will support the world in making that change. This is what we believe it takes to be the steel company of the future. ArcelorMittal is listed on the stock exchanges of New York (MT), Amsterdam (MT), Paris (MT), Luxembourg (MT) and on the Spanish stock exchanges of Barcelona, Bilbao, Madrid and Valencia (MTS).For more information about ArcelorMittal please visit:

ArcelorMittal

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