Senior ML Ops Engineer - Scalable Data Pipelines, Remote

Intuition Machines; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Fully remote position

Flexible working hours

Global team

Job summary

Intuition Machines is seeking a Senior ML Ops Engineer to design, maintain, and scale data pipelines powering our AI-driven security products. You’ll work cross-functionally to build datasets on demand, influence storage strategies, and reduce dashboard/ML model deployment time.

The role emphasizes independent decision-making in a fast-paced environment, with a fully remote team distributed globally. Candidates should have strong Python, Kafka, and cloud experience to support high-velocity data

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 proficiency

Data pipeline design

Independent decision-making

Adaptability

Tools

Kafka

ClickHouse

Kubernetes

CI/CD pipelines

Distributed data systems

Job description

Intuition Machines is seeking a Senior ML Ops Engineer to design, maintain, and scale data pipelines powering our AI-driven security products. You’ll work cross-functionally to build datasets on demand, influence storage strategies, and reduce dashboard/ML model deployment time.

The role emphasizes independent decision-making in a fast-paced environment, with a fully remote team distributed globally. Candidates should have strong Python, Kafka, and cloud experience to support high-velocity data