AI/ML Engineer - AI Training
New
P
Prolific Academic LtdArtificial Intelligence
RemoteContractSenior
SalaryUp to $80 per hour
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonKerasMachine LearningPyTorchTensorflowLLMLangChain
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.
- Deep understanding of neural network architectures including Transformers, CNNs, and RNNs.
- Hands-on experience with LLM specialization workflows such as Prompt Engineering, RLHF, or RAG.
- Expert proficiency in PyTorch or TensorFlow/Keras.
- Advanced Python skills including NumPy, Pandas, and Scikit-learn.
- Experience with Hugging Face Transformers.
- Experience with cloud MLOps tools such as AWS SageMaker, Google Cloud Vertex AI, Weights & Biases, or LangChain.
- Familiarity with vector databases like Pinecone, Milvus, or Weaviate.
- Ability to audit model logic, identify data contamination, and evaluate mathematical proofs.
- Attention to detail in spotting hallucinations, bias, and logical failures.
Responsibilities
- Evaluate LLM architecture logic by reviewing technical explanations of model architectures, loss functions, and backpropagation for accuracy.
- Audit ML-specific code and notebooks, including training loops and data preprocessing scripts, to ensure efficiency and correctness.
- Refine RLHF frameworks by providing human feedback to align models with human intent, safety, and helpfulness.
- Analyze model reasoning by assessing AI navigation of complex chain-of-thought prompts to identify logical failures.
- Benchmark model performance through comparative testing based on specific technical taxonomies and metrics.
View Full Description & ApplyYou'll be redirected to the employer's site
