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Senior ML Ops Engineer

5 months, 1 week 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
Apply Now
Intuition Machines

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
51-250
View All Jobs 15

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

Apply Now

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