Job description
This is a remote position.
We are looking for a skilledMachine Learning Engineerto join our team and lead the development of predictive models for CV analysis and classification. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets of CVs and job application information, building machine learning models to classify candidates, and improving the performance of these models through advanced techniques.
المتطلبات
Data Collection:Identify and gather relevant datasets from open-source platforms or by performing web scraping using tools likeBeautifulSouporScrapy.
Data Analysis and Preprocessing:Clean, prepare, and analyze datasets using libraries such asPandasandNumPyto extract valuable insights and prepare the data for modeling.
Model Development:Build, train, and evaluate machine learning models using libraries such asScikit-learn,XGBoost, or similar tools to classify CVs and predict candidate suitability for job roles.
Model Evaluation and Optimization:Use techniques such asCross-ValidationandHyperparameter Tuning(e.g.,GridSearchCV,RandomizedSearchCV) to optimize model performance.
Data Visualization:Create clear and informative visualizations using tools likeMatplotlibandSeabornto present findings and model results.
Reporting:Document model results, prepare reports, and communicate findings with stakeholders, offering actionable insights and recommendations for improvement.
Collaboration:Work closely with other team members such as data scientists, software developers, and business stakeholders to integrate machine learning solutions into existing platforms.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
Proven experience in data collection, analysis, and model building, preferably in CV or job market-related projects.
Proficiency in programming languages such asPythonand experience with libraries likePandas,Scikit-learn,XGBoost,BeautifulSoup, andMatplotlib.
Strong understanding of machine learning algorithms and techniques (e.g., logistic regression, decision trees, random forest, SVM, boosting).
Experience withWeb Scrapingand knowledge ofAPIsis a plus.
Ability to work with large datasets and perform feature engineering for text data (e.g.,TF-IDF,One-Hot Encoding).
Excellent problem-solving skills and attention to detail.
Skills Required:
Machine Learning:Ability to build and optimize models for classification problems.
Data Analysis:Strong analytical skills to clean, process, and interpret data.
Programming:Advanced knowledge ofPythonand libraries for machine learning and data analysis.
Data Visualization:Experience creating visual reports to present data findings.
Communication:Strong written and verbal communication skills to explain technical results to non-technical stakeholders.
المزايا
Full-time position.
Remote or on-site options available.
Collaborative, dynamic, and supportive team environment.
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.