Machine Learning Engineer / Specialist

aio méxico Germany
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AI Summary

AIO México is seeking a skilled Machine Learning Engineer / Specialist to develop scalable and production-ready ML systems. The ideal candidate will have a strong background in machine learning, AI, and data science. The role requires experience with machine learning frameworks, MLOps workflows, and cloud platforms.

Key Highlights
Design, build, and deploy machine learning models and pipelines
Collaborate with data scientists, engineers, and product teams
Stay updated with the latest advancements in AI/ML
Key Responsibilities
Design, build, and deploy machine learning models and pipelines
Process and analyse large-scale structured and unstructured datasets
Collaborate with data scientists, engineers, and product teams
Technical Skills Required
Python TensorFlow PyTorch Scikit-learn SQL Spark Hadoop Docker Kubernetes MLflow Airflow AWS Azure GCP
Benefits & Perks
Competitive salary
Flexible working hours
Hybrid/remote options
25–30 days annual leave
Health insurance and social security benefits
Learning budget, certifications, and conference support
Visa sponsorship / EU Blue Card support if applicable
Nice to Have
German is a plus

Job Description


📌 Job Title: Machine Learning Engineer / Machine Learning Specialist

📍 Location: Berlin / Munich / Frankfurt / Hamburg, Germany

💼 Employment Type: Full-time (Hybrid / Remote options available)

🏢 Company: AIO México

🌟 About the Company

AIO México is an innovation-driven organisation leveraging AI and machine learning to build intelligent products and data-driven solutions across Germany and Europe. We are looking for a skilled ML Engineer / Specialist to develop scalable and production-ready ML systems.

🚀 Key Responsibilities
  • Design, build, and deploy machine learning models and pipelines
  • Process and analyse large-scale structured and unstructured datasets
  • Collaborate with data scientists, engineers, and product teams
  • Optimise models for performance, scalability, and reliability
  • Implement and maintain MLOps workflows (deployment, monitoring, retraining)
  • Integrate ML solutions into production environments
  • Stay updated with the latest advancements in AI/ML
🎯 Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, or related field
  • 2–5 years of experience in machine learning / AI roles
  • Strong programming skills in Python (preferred), Java, or Scala
  • Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn)
  • Solid understanding of machine learning algorithms, statistics, and data modelling
  • Experience with SQL and big data tools (Spark, Hadoop)
  • Familiarity with MLOps tools (Docker, Kubernetes, MLflow, Airflow)
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Strong analytical and problem-solving skills
  • Fluent in English; German is a plus
💡 What We Offer
  • Competitive salary aligned with the German AI/ML market (€65K–€95K / Senior €110K+)
  • Flexible working hours and hybrid/remote options
  • 25–30 days annual leave
  • Health insurance and social security benefits
  • Learning budget, certifications, and conference support
  • Innovative and international work environment
  • Visa sponsorship / EU Blue Card support if applicable


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