Intuition Machines

Intuition Machines is a leading company in the field of Privacy Preserving AI/ML. They specialize in turning AI/ML research into platforms and services that prioritize user privacy. Their products, including hCaptcha.com, are widely used and have a sig...

Life Sciences Tools & Services

Health Care

51-250 (75)

14 open positions

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Senior ML Ops Engineer

4 months, 2 weeks ago

United Kingdom, Austria, Croatia, Czech Republic, Poland, Romania

Contract

Senior

Machine Learning Engineer

Software Development

AWS Azure CI/CD ClickHouse Feature Engineering Kafka Kubernetes Machine Learning Microservices Python PyTorch SQL TensorFlow

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Intuition Machines

Life Sciences Tools & Services

51-250

View All Jobs 14

Description

Maintain, extend, and improve existing data and ML workflows.
Implement new pipelines 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 ML, frontend, and backend teams to build the data platform.
Reduce time-to-deployment for dashboards and ML models.
Establish best practices and develop software that helps ML engineers and researchers build and use datasets efficiently.
Work with large datasets under strict performance constraints.
Iterate quickly and ship new products and features to millions of users.
Make independent decisions on data processing strategy and architecture.

Requirements

Minimum of 3 years of experience in a data role involving data stores, feature engineering, and reliable high-load data pipelines.
At least 2 years of professional software development experience outside of data engineering.
Proficiency in Python.
Experience with Kafka infrastructure and distributed data systems.
Deep understanding of SQL and NoSQL databases, preferably ClickHouse.
Familiarity with public cloud providers such as AWS or Azure.
Experience with CI/CD, Kubernetes, containerization, and microservice design.
Proven ability to make independent decisions regarding data processing strategy and architecture.
Ability to operate effectively in a fast-paced, self-directed environment.
Preferred: Experience collaborating across ML, backend, and frontend teams.
Preferred: Understanding of machine learning fundamentals, including model training and inference.
Preferred: Experience with frameworks such as PyTorch or TensorFlow.

Benefits

Fully remote position with flexible working hours.
Opportunity to work with an international team distributed around the world.
Modern development and deployment workflows with a ship-early, ship-often culture.
High-impact role with lots of users, happy customers, high growth, and cutting-edge R&D.
Flat organization with direct interaction with customer teams.
Inclusive environment committed to equality of opportunity.
Pre-employment screening includes third-party verification of work history, education, and identity, plus an in-person interview and identity verification in your country of residence.

Interested in this position?

Apply directly on the company website

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