Machine Learning Engineer

3 days ago


United Kingdom Silicontek Inc Full time

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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