Job Description
Sayari is seeking a Machine Learning Engineer Intern to join our growing Machine Learning team. In this role, you will work on developing and enhancing machine learning models that power our risk intelligence platform. This internship offers hands-on experience with real-world data on production machine learning systems at scale. You will work closely with our Data and Product teams to build, evaluate, and release ML models and features. Your contributions will directly impact Sayari's mission of enhancing visibility into global commercial and trade networks.
Job Responsibilities:
Develop and improve machine learning models for trade classification, entity classification, and entity resolutionImplement data preprocessing pipelines and feature engineering techniquesEvaluate model performance using appropriate metrics and validation techniquesCollaborate with data engineers to integrate ML models into production systemsResearch and experiment with new machine learning approaches to solve complex problemsSkills & Experience:
Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or related technical fieldStrong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learnUnderstanding of fundamental machine learning concepts and algorithmsExperience with data manipulation libraries (pandas, NumPy) and SQLStrong analytical and problem-solving skills with excellent communication abilitiesPreferred Qualifications: Experience with distributed computing frameworks like Apache Spark Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML) Knowledge of natural language processing techniques and graph algorithmsExperience in performance optimization for machine learning models and pipelinesExperience working with LLM assistants and tools
