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Browse remote Kafka positions — event streaming engineering, real-time data pipeline development, and ML feature computation roles at AI companies.
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
Every ML model is only as good as its data, and ours processes 800GB daily from IoT sensors deployed across 200 wind farms. Turbine vibration data, we...
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Posted 5 months ago
Applications closedSynta Cloud
Hybrid
New York, United States (UTC-5)
A digital twin is a living simulation of a physical system — updated with real-time sensor data, calibrated against actual performance, and used to pr...
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Posted 5 months ago
Applications closedXolvex Studio
Hybrid
New York, United States (UTC-5)
Live sports broadcasts show instant replays — but selecting the best camera angle, identifying the key moment, and framing the replay still requires a...
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Posted 5 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
We already process 800GB daily in batch. Now our ML teams need real-time features — and the streaming infrastructure to deliver them. Wind turbine sen...
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Posted 5 months ago
Applications closedPolarML
Remote
Seoul, South Korea (UTC+9)
We are the data engineering division of a South Korean electric vehicle battery manufacturer. Our parent company produces battery cells and pack syste...
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Posted 5 months ago
Applications closedGulf Analytics
Remote (Turkey/EU)
Istanbul, Turkey (UTC+3)
We are Turkey's second-largest e-commerce marketplace. We have 48 million registered users, 380,000 active merchants, and we process approximately 1.2...
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Posted 5 months ago
Applications closedStrata AI
Remote
New York, United States (UTC-5)
If batch is your comfort zone, this role will feel sharp at the edges. We process transaction and device signals continuously, and our risk teams need...
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Posted 5 months ago
Applications closedPonto AI
Remote
Los Angeles, United States (UTC-8)
Our contact centre platform routes millions of customer interactions every month. We are hiring an ML engineer to improve intent prediction and routin...
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Posted 5 months ago
Applications closedLinguaAI
Remote
Lagos, Nigeria (UTC+1)
We are building the payment rails for Africa. Not a metaphor — actual payment infrastructure connecting mobile money wallets, bank accounts, USSD syst...
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Posted 5 months ago
Applications closedTerraVision AI
Remote
London, United Kingdom (UTC+0)
Short version: our event pipeline grew faster than its design. Now we need to migrate key fintech product streams onto something cleaner and easier to...
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Role guide
Apache Kafka is the backbone of real-time data infrastructure at AI companies. Remote Kafka jobs involve building event streaming pipelines, designing topic architectures, and integrating Kafka with ML feature stores and streaming ML inference systems. Engineers who combine Kafka expertise with Python and ML pipeline knowledge are particularly in demand.
What remote Kafka jobs are available at AI companies?
Real-time data engineering and ML infrastructure roles where Kafka manages event streams. Most require Python alongside Kafka expertise and cloud platform (AWS MSK, Confluent Cloud) experience.
Do Kafka engineers need Spark knowledge for AI roles?
Often yes — particularly for roles combining batch and streaming processing. The Spark + Kafka combination is common in AI companies that need both real-time features and historical batch training data.
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