Remote Senior ML Ops Engineer: Data Pipelines & Scale

Aimlroles; Warszawa; Remote; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Fully remote position

Job summary

Intuition Machines is seeking a Senior ML Ops Engineer to shape and expand data pipelines powering our AI products and research. You will maintain, extend, and improve high-velocity data workflows and build interfaces for ML engineers to create datasets on demand.

You will collaborate with ML, frontend, and backend teams to deploy dashboards and ML models faster, while shaping storage and processing strategies. Remote-friendly, fast-paced environment with high impact across millions of users.

Qualifications

• Minimum of 3 years of experience in a data role involving designing and building data stores, feature engineering, and building reliable data pipelines that handle high loads.
• At least 2 years of professional software development experience in a role other than data engineering.
• Proficiency in Python and experience working with Kafka infrastructure and distributed data systems.
• Deep understanding of SQL and NoSQL databases (preferably Clickhouse).
• Familiarity with public cloud providers (AWS or Azure).
• Experience with CI/CD and orchestration platforms: Kubernetes, containerization, and microservice design.
• Proven ability to make independent decisions regarding data processing strategy and architecture.
• Thoughtful, self-directed individual who is able to operate effectively in a fast-paced environment.

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

Public cloud (AWS/Azure)

CI/CD

Kubernetes

Microservices

Decision making

Fast-paced environment

Tools

Kubernetes

Containerization

Microservice design

Clickhouse

Job description

Intuition Machines is seeking a Senior ML Ops Engineer to shape and expand data pipelines powering our AI products and research. You will maintain, extend, and improve high-velocity data workflows and build interfaces for ML engineers to create datasets on demand.

You will collaborate with ML, frontend, and backend teams to deploy dashboards and ML models faster, while shaping storage and processing strategies. Remote-friendly, fast-paced environment with high impact across millions of users.