ML Engineer

Be part of a DK Hardware team that unleashes the power of leading-edge technologies to help improve e-commerce processes in hardware world.

Your role in our mission

• Development and enhancement of nlp models for text analysis.
• Creation of data processing methods to improve text analysis accuracy.
• Evaluation and tuning of models using standard metrics for real-world tasks.
• Fine-tuning and optimization of neural networks for classification, structuring, sorting, and automated document processing.
• Analysis and implementation of open-source AI solutions for practical applications.

What we’re looking for

• Python: fundamental programming language.
• PyTorch: neural network training and inference for NLP.
• Hugging Face Transformers (ELECTRA, BERT, and etc.)
• SimpleTransformers: convenient library for transformer model management.
• Pandas and NumPy: data preparation, processing, and analysis.
• Scikit-learn: model evaluation metrics (ROC-AUC, PR-AUC, confusion matrix).
• Tokenizers (Hugging Face), NLTK: tokenization and text processing.
• Matplotlib, Seaborn, tensorboardX: visualization and model performance logging.
• CUDA/Conda: GPU acceleration for model training and inference.
• Pickle: saving and loading models and data.
• AdamW, ReduceLROnPlateau: model optimization and learning rate scheduling.
• Different NLP techniques for classification
• Docker, Kubernetes, Slurm: application containerization and orchestration.
• TensorBoard, wandb: monitoring, logging, and visualization of model performance.

Education

• Bachelor degree in Engineering of Science in required