AI/ML Engineer - Expert Network
New
P
Prolific Academic LtdArtificial Intelligence
Global pool of participantsContractSenior
SalaryUp to $80 per hour
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Job Details
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep LearningPrompt EngineeringLLM
Requirements
- BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
- Experience building, deploying, or fine-tuning ML models in a production environment.
- Professional-level understanding of neural network architectures such as Transformers, CNNs, and RNNs.
- Hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
- Ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs.
- Expert proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
- Experience with cloud and MLOps tools such as AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain.
- Familiarity with vector databases like Pinecone, Milvus, or Weaviate.
- High attention to detail in spotting hallucinations, bias, or logical failures in AI-generated technical content.
Responsibilities
- Review AI-generated explanations of model architectures, loss functions, and backpropagation for technical accuracy.
- Validate ML-specific code including training loops, data preprocessing scripts, and model evaluations.
- Provide high-quality human feedback to align models with human intent, safety, and helpfulness through RLHF frameworks.
- Critically assess AI model reasoning during chain-of-thought prompts to identify failures.
- Conduct comparative testing between different model outputs based on technical taxonomies and performance metrics.
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