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Senior Machine Learning Scientist (UK, Mexico or Poland)

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 3-5 years

📍 Location: Mexico, UK, Poland

🔍 Industry: Education technology

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: PythonSoftware DevelopmentSQLGitMachine LearningPyTorchCollaborationDocumentation

Requirements:
  • Experience with text data for building supervised and unsupervised Deep Learning models.
  • Strong knowledge of machine learning and deep learning mathematics and theory.
  • 3-5 years of software engineering experience or a PhD in a related field.
  • Development skills with tools like AWS SageMaker, PyTorch, and Hugging Face.
  • Understanding of Language Models and experience in training/fine-tuning LLMs.
  • Master's degree or PhD in Computer Science or related field is preferred.
  • Excellent communication and teamwork skills.
  • Fluency in written and spoken English.
Responsibilities:
  • Work with subject matter experts and product owners to define questions and desired outcomes.
  • Curate, generate, and annotate data to create optimal datasets.
  • Transform raw data into trainable datasets using SQL queries and scripting.
  • Develop and tune Machine Learning models, selecting appropriate datasets and architectures.
  • Utilize and fine-tune Language Models (LLMs) through prompt engineering.
  • Stay current with field developments and communicate insights and model behaviors.
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📍 Mexico, UK, Poland

🧭 Full-Time

🔍 Education Technology

  • Experience working with text data to build Deep Learning and ML models.
  • Strong understanding of the math and theory behind machine learning and deep learning.
  • Software engineering background with 3-5 years of experience (waived for PhD).
  • ML development skills including experiment tracking using tools like AWS SageMaker and PyTorch.
  • Understanding of Language Models including training and fine-tuning.
  • Master's degree or PhD in related fields with relevant industry experience.

  • Work with subject matter experts and product owners to determine key questions.
  • Curate, generate, and annotate data to create optimal datasets.
  • Answer questions from raw data using SQL queries and scripting.
  • Develop and tune Machine Learning models, optimizing datasets and parameters.
  • Utilize Language Models through prompt engineering and fine-tuning.
  • Stay current in the field by reading research papers and experimenting.
  • Optimize models for production and communicate insights to peers.

AWSPythonSoftware DevelopmentSQLFlaskGitJavascriptMachine LearningPyTorchReactCollaborationDocumentation

Posted about 2 months ago
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