AI & ML Engineering
Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
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Explore roles for candidates who keep AI systems scalable, observable, reliable, and production-ready.
MLOps and AI infrastructure jobs are ideal for candidates who enjoy deployment, orchestration, observability, platform tooling, and the systems that keep AI reliable at scale.
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Posted 6 months ago
We're building a developer platform for LLM applications — think eval frameworks, observability dashboards, prompt versioning, and deployment tooling....
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Posted 6 months ago
We have 8 models in production. None of them are monitored. We find out a model is degrading when a business stakeholder complains. That's too late....
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Posted 6 months ago
We process 500 million events per day. Stack is Kafka + Spark on AWS, orchestrated via Airflow. It's held up, but end-to-end latency on our critical e...
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Posted 7 months ago
Our ML training and inference costs went from $40k/month to $180k/month in 8 months. Nobody knows exactly why. We need an ML infra engineer to audit...
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Posted 7 months ago
Our legal team is preparing for EU AI Act compliance. Our models affect credit decisions and insurance underwriting — both high-risk AI uses under the...
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Posted 8 months ago
We have 14 ML models in production and feature engineering is duplicated everywhere. Each model team maintains their own pipelines. When one team fixe...
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Posted 8 months ago
We have 80+ Airflow DAGs and they're a mess. Some DAGs take 6 hours when they should take 30 minutes. We have dependencies that are poorly documented,...
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Posted 8 months ago
We serve 10M+ ML predictions per day and our on-call rotation is a disaster. Right now when something goes wrong at 2am, the engineer on call has no r...
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Posted 9 months ago
Three data engineers, five ETL tools, zero documentation. Every time someone asks "where does this metric come from" we get three different answers....
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Posted 9 months ago
We need an experienced MLOps engineer for a 6-month engagement to help us migrate our ML model serving from a manual notebook-based workflow to a full...
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Explore opportunities built for candidates in LLM systems, machine learning, MLOps, automation, and applied AI delivery.
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Browse roles for engineers building production ML systems, model pipelines, and applied AI products.
Browse JobsFind jobs in LLM products, retrieval systems, prompt design, and language-first AI workflows.
Browse JobsExplore opportunities in deployment, monitoring, orchestration, and scalable AI infrastructure.
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Some candidates start with AI & ML Engineering jobs for product and model delivery, while others focus on NLP & Prompt Engineering jobs for LLM products, MLOps & AI Infrastructure jobs for production reliability, or AI Product & Strategy jobs for roadmap and adoption work.
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You can explore remote AI jobs across machine learning, prompt engineering, MLOps, data science, automation, and AI product roles.
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