AIML Data Engineer
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
Programming & Foundations
Strong in Python data structures and algorithms.
Hands-on with NumPy Pandas Scikit-learn for ML prototyping.
Machine Learning
Understanding of supervised/unsupervised learning regularization feature engineering model selection cross-validation ensemble methods (XGBoost LightGBM).
Deep Learning
Proficiency with PyTorch (preferred) or TensorFlow/Keras.
Knowledge of CNNs RNNs LSTMs Transformers Attention mechanisms.
Familiarity with optimization (Adam SGD) dropout batch norm.
LLMs & RAG
Hugging Face Transformers (tokenizers embeddings model fine-tuning).
Vector databases (Milvus FAISS Pinecone ElasticSearch).
Prompt engineering function/tool calling JSON schema outputs.
Data & Tools
SQL fundamentals; exposure to data wrangling and pipelines.
Git/GitHub Jupyter basic Docker.
Strong in Python data structures and algorithms.
Hands-on with NumPy Pandas Scikit-learn for ML prototyping.
Machine Learning
Understanding of supervised/unsupervised learning regularization feature engineering model selection cross-validation ensemble methods (XGBoost LightGBM).
Deep Learning
Proficiency with PyTorch (preferred) or TensorFlow/Keras.
Knowledge of CNNs RNNs LSTMs Transformers Attention mechanisms.
Familiarity with optimization (Adam SGD) dropout batch norm.
LLMs & RAG
Hugging Face Transformers (tokenizers embeddings model fine-tuning).
Vector databases (Milvus FAISS Pinecone ElasticSearch).
Prompt engineering function/tool calling JSON schema outputs.
Data & Tools
SQL fundamentals; exposure to data wrangling and pipelines.
Git/GitHub Jupyter basic Docker.
