AI/ML Engineer - Expert Network
New
P
Prolific Academic LtdArtificial Intelligence
RemoteContractSenior
SalaryUp to $80 per hour
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Job Details
- Required Skills
- PythonMachine LearningPyTorchTensorflowDeep LearningPrompt Engineering
Requirements
- BS, MS, or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field with a focus on Machine Learning.
- Professional-level experience building, deploying, or fine-tuning ML models in a production environment.
- Expert proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills (NumPy, Pandas, Scikit-learn) and experience with Hugging Face Transformers.
- Hands-on experience with Prompt Engineering, RLHF (Reinforcement Learning from Human Feedback), or RAG (Retrieval-Augmented Generation) workflows.
- Professional-level understanding of neural network architectures (Transformers, CNNs, RNNs) and optimization techniques.
- Ability to audit complex model logic, identify training data contamination, and evaluate mathematical proofs behind ML algorithms.
- Experience with AWS (SageMaker), Google Cloud (Vertex AI), or specialized tools like Weights & Biases and LangChain.
- Familiarity with vector databases such as Pinecone, Milvus, or Weaviate.
- High attention to detail in spotting hallucinations, biased outputs, 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.
- Critically assess AI navigation of complex chain-of-thought prompts to identify reasoning breakdowns.
- Conduct comparative testing between different model outputs based on technical taxonomies and performance metrics.
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