Remote Machine Learning Engineer Intern

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Description:

  • Sayari is seeking a Machine Learning Engineer Intern to join their growing Machine Learning team.
  • The intern will develop and enhance machine learning models that power Sayari's risk intelligence platform.
  • This internship offers hands-on experience with real-world data on production machine learning systems at scale.
  • The intern will work closely with the Data and Product teams to build, evaluate, and release ML models and features.
  • Contributions will directly impact Sayari's mission of enhancing visibility into global commercial and trade networks.
  • Responsibilities include developing and improving machine learning models for trade classification, entity classification, and entity resolution.
  • The intern will implement data preprocessing pipelines and feature engineering techniques.
  • Evaluating model performance using appropriate metrics and validation techniques is also a key responsibility.
  • The intern will collaborate with data engineers to integrate ML models into production systems.
  • Researching and experimenting with new machine learning approaches to solve complex problems is expected.

Requirements:

  • Candidates must be currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related technical field.
  • Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn are required.
  • An understanding of fundamental machine learning concepts and algorithms is necessary.
  • Experience with data manipulation libraries (pandas, NumPy) and SQL is essential.
  • Strong analytical and problem-solving skills with excellent communication abilities are required.
  • Preferred qualifications include experience with distributed computing frameworks like Apache Spark.
  • Familiarity with MLOps tools and practices (MLflow, model versioning, CI/CD for ML) is advantageous.
  • Knowledge of natural language processing techniques and graph algorithms is preferred.
  • Experience in performance optimization for machine learning models and pipelines is a plus.
  • Experience working with LLM assistants and tools is also preferred.

Benefits:

  • Sayari offers a collaborative and positive culture where team members are smart and driven.
  • There are limitless growth and learning opportunities available for interns.
  • The company has a strong commitment to diversity, equity, and inclusion.
  • Team building events and opportunities are provided to enhance team cohesion.
  • The pay for this internship ranges from $20 to $25 an hour.
Apply now
Please, let Sayari know you found this job on RemoteYeah . This helps us grow 🌱.
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