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Mid Level Engineer - Machine Learning (NLP Focus)
Skills
Data CleaningData QualityData ScienceDatasetsModel DevelopmentNatural Language ProcessingPattern Recognition
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Solid understanding of setting up ML experiments, communicating results, managing expectations
- Experience in verifying and ensuring data quality through cleaning processes
- Proven experience in training custom models with available data and conducting rapid experimentation for proof-of-concept projects
- Hands-on knowledge of major ML frameworks, preferably PyTorch
- Familiarity with MLOps practices including model deployment and ML as a service
- Understanding of Large Language Models (LLMs) and third-party services
Day to day
- Develop machine learning models to meet business objectives, including performance tracking metrics
- Ensure data quality through verification and cleaning processes
- Explore and visualize data to understand it thoroughly and identify distribution differences impacting model performance
- Research and utilize datasets for model training
- Define and implement validation strategies for model evaluation
- Train models and fine-tune hyperparameters to optimize performance
- Deploy models to production environments for seamless integration
- Maintain up-to-date knowledge of advancements in machine learning, especially NLP