Machine Learning Engineers, MLOps & LLM Engineers

We are seeking experienced Machine Learning Engineers, AI Engineers, MLOps Engineers, LLM Engineers, and Applied AI Developers to evaluate and improve frontier AI coding agents through realistic technical tasks.

You will use advanced coding agents to solve and review machine learning engineering workflows involving model training, inference, deployment, MLOps, LLM applications, and production AI systems.

What You’ll Do

Use frontier AI coding agents to complete complex machine learning engineering tasks
Review AI-generated implementations for correctness, scalability, reliability, and performance
Evaluate model training, inference, deployment, and production ML workflows
Identify bugs, edge cases, architectural weaknesses, performance bottlenecks, and failure modes
Compare outputs from multiple AI coding models
Assess technical tradeoffs and determine which implementation is stronger
Debug AI-generated Python, ML, data, and infrastructure code
Apply real-world engineering judgment to production-style AI and ML scenarios




Provide structured technical evaluations and explicit written reasoning
Test whether generated solutions actually work in realistic environments

Who Can Apply

Relevant backgrounds include:

Machine Learning Engineers, Senior Machine Learning Engineers, ML Engineers, AI Engineers, Artificial Intelligence Engineers, Applied AI Engineers, LLM Engineers, Generative AI Engineers, Deep Learning Engineers, Applied Machine Learning Engineers, and AI Software Engineers.

We also welcome:

MLOps Engineers, ML Platform Engineers, Machine Learning Infrastructure Engineers, AI Infrastructure Engineers, Model Deployment Engineers, Model Serving Engineers, ML Systems Engineers, ML Reliability Engineers, ML Production Engineers, AI Platform Engineers, and Model Operations Engineers.

LLM and GenAI backgrounds may include:

LLM Application Engineers, LLMOps Engineers, AI Agent Engineers, Agentic AI Engineers, RAG En

📌 Machine Learning Engineer | Remote (India)
🏢 The Ai Training
📍 India