Senior ML Data Engineer — Remote, High-Scale Pipelines

Intuition Machines, Inc.; Polska; Remote; PLN 394,000 - 570,000; Full time

Benefits offered by this job

Fully remote position

Flexible working hours

Global team

Modern development workflows

Job summary

Intuition Machines, Inc. is seeking a Senior ML Ops Engineer to shape and expand the pipelines that power our products and research efforts.

You’ll work across teams to design, maintain, and improve high-performance data pipelines, ensuring data is accessible, reliable, and scalable for users and internal stakeholders. You will collaborate with the ML team, frontend and backend colleagues to build out our data platform, reduce time-to-deployment for dashboards and models, and implement best

Qualifications

• Minimum of 3 years of experience in a data role designing and building data stores and pipelines.
• At least 2 years of professional software development experience outside data engineering.
• Proficiency in Python and experience with Kafka and distributed data systems.
• Deep understanding of SQL and NoSQL databases (ClickHouse preferred).
• Familiarity with AWS or Azure cloud providers.
• Experience with CI/CD, Kubernetes, containerization, and microservices design.
• Ability to make independent decisions about data processing strategy and architecture.
• Self-directed and able to operate in a fast-paced environment.
• Experience collaborating across ML, backend, and frontend teams.
• Understanding of ML fundamentals, including training, inference, and frameworks such as PyTorch or TensorFlow.

Responsibilities

• Maintain, extend, and improve existing data/ML workflows, and implement new ones to handle high-velocity data.
• Provide interfaces and systems that enable ML engineers and researchers to build datasets on demand.
• Influence data storage and processing strategies.
• Collaborate with the ML team, as well as frontend and backend teams, to build out our data platform.
• Reduce time-to-deployment for dashboards and ML models.
• Establish best practices and develop pipelines and software that enable ML engineers and researchers to efficiently build and use datasets.
• Work with large datasets under performance constraints comparable to those at the largest companies.
• Iterate quickly, with a focus on shipping early and often, ensuring that new products or features can be deployed to millions of users.

Skills

Python

Kafka

SQL

NoSQL

ClickHouse

AWS

Azure

Kubernetes

CI/CD

Microservices

Tools

Docker

Job description

Intuition Machines, Inc. is seeking a Senior ML Ops Engineer to shape and expand the pipelines that power our products and research efforts.

You’ll work across teams to design, maintain, and improve high-performance data pipelines, ensuring data is accessible, reliable, and scalable for users and internal stakeholders. You will collaborate with the ML team, frontend and backend colleagues to build out our data platform, reduce time-to-deployment for dashboards and models, and implement best