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Machine Learning Infrastructure Developer

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Warszawa, Mazovia, Polska Intuition Machines, Inc. Pełny etat

**Job Title:** Cloud-Native Data Architect

We are looking for an experienced Cloud-Native Data Architect to join our team at Intuition Machines, Inc. As a key member of our engineering team, you will be responsible for designing and implementing scalable, secure, and reliable data pipelines that power our AI/ML products.

The ideal candidate will have a strong background in cloud computing, data engineering, and machine learning, with a proven track record of delivering high-quality solutions that meet business requirements.

In this role, you will work closely with our team of engineers, researchers, and product managers to design and implement data pipelines that integrate with our AI/ML infrastructure.

Key Responsibilities:

  • Design and implement scalable, secure, and reliable data pipelines
  • Maintain and improve existing data pipelines to ensure high quality and performance
  • Collaborate with cross-functional teams to identify and prioritize data pipeline improvements
  • Develop and implement automated testing and deployment scripts
  • Ensure data pipeline security and compliance with industry standards

Requirements:

  • 4+ years of experience in data engineering, cloud computing, or a related field
  • Strong background in Python programming language
  • Experience with containerization (e.g., Docker), orchestration platforms (e.g., Kubernetes), and microservice design
  • Familiarity with database systems (SQL, NoSQL) and distributed systems
  • Basic understanding of machine learning fundamentals (data preparation, model training, etc.)

Bonus Requirements:

  • Professional experience with C++, Rust, or Go programming languages
  • College-level mathematical knowledge (linear algebra, probability theory, statistics)
  • Practical experience applying ML concepts (optimization, classification, regression)

What We Offer:

  • Fully remote position with flexible working hours
  • An inspiring team of colleagues spread across the globe
  • Pleasant, modern development and deployment workflows
  • High impact: lots of users, happy customers, high growth, and cutting-edge R&D