Machine Learning Engineer
3 days ago
What You’ll Do
- Work with cross-functional teams to gather and analyze data requirements
- Develop and implement machine learning models for structured data
- Perform data pre-processing, feature engineering, and model selection
- Evaluate and improve model performance using various metrics
- Collaborate with software engineers to integrate machine learning models into production systems
- Monitor and maintain machine learning models in a production environment
- Keep up-to-date with the latest advancements in machine learning and AI
- Author and publish the novelty of the works accomplished in peer reviewed journals and conferences.
Knowledge, Skills & Abilities
- Experience in NLP and any of the deep learning frameworks such as TensorFlow, Keras, PyTorch, etc
- Proficiency with modern statistical modeling (regression, boosting trees, random forests, etc.) including classification, regression, and clustering models
- Strong experience in Python and its libraries for data analysis and machine learning (such as NumPy, Pandas, Scikit-learn, etc.)
- Data Analysis Libraries: Pandas, PySpark, Numpy, Matplotlib
- Advanced analytical skills, including time-series forecasting
- Knowledge of SQL and working with relational databases
- Strong problem-solving and analytical skills
- Excellent communication skills and the ability to work in a team environment
Education and Work Experience
- Bachelor's or Master's degree or Phd in Computer Science, Mathematics, or a related field
- 3+ years of experience in building and deploying machine learning models for structured data
Plus to have
Prior experience in working with synthetic data
Research and publication experience
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