IKUE
Machine Learning Engineer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJun 21, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Machine Learning Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
As a Machine Learning Engineer at Ikue you will:
- Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists
- Design and build machine learning pipelines (model build, evaluation, deploy, monitoring)
- Integrate machine learning outputs into real-time and batch data pipelines
- Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)
You will be rewarded with:
- You will become part of an international environment that embraces diversity and professionalism
- A dynamic and motivated team, with a good sense of humour
- Freedom to take responsibility, grow within the team and ALSO
- Working in a fast-forward company
- Remote work model
Details
- You will become part of an international environment that embraces diversity and professionalism
- A dynamic and motivated team, with a good sense of humour
- Freedom to take responsibility, grow within the team and ALSO
- Working in a fast-forward company
- Remote work model
Requirements:
- BSc Computer Science or Engineering
- 3+ years working experience as a Machine Learning Engineer
- Advanced skills developing in Python, Spark, SQL
- Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS and Sagemaker preferable)
- AWS Associate Developer certification (Machine Learning Speciality preferable)
- Excellent problem solving and analytical skills
- Strong communication and collaboration abilities
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