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Senior Machine Learning Engineer-JT12345

Revecore

Salary not specified
Aug 27, 2025
Remote, US
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Revecore is looking to enhance the productivity and efficiency of their underpayment business by leveraging machine learning, data analysis, and software engineering to drive their AI-enabled workflow program.

Requirements

  • Experience working in a similar role, with a focus on machine learning or data science.
  • Experience, developing, and deploying machine learning models in a production environment.
  • Experience with scikit-learn, TensorFlow, PyTorch, in Python and/or Scala.
  • Ability to wrangle data, perform exploratory data analysis, and draw insights from visualizations.
  • Applied experience with contemporary natural language processing (NLP) tasks, techniques, and tools (e.g., entity extraction, seq2seq modeling, transformers, hugging face)
  • Experience with Spark.
  • Experience with operating ML pipelines in a cloud platform (e.g., AWS, GCP, Azure)

Responsibilities

  • Own end-to-end development, training, productionization, evaluation, and improvement of machine learning systems to rank claim opportunities.
  • Analyze and explore data to identify actionable opportunities from internal and 3rd party data.
  • Research, implement, and launch new model architectures that drive business impact.
  • Partner and collaborate with cross-functional teams of software engineers, data engineers, subject matter experts, product managers and analysts to design and build practical solutions.
  • Implement MLOps best practices to streamline the development, deployment, and maintenance of machine learning models.
  • Continuously measure the impact of the AI-enabled workflows on key business metrics and use these measurements to improve the machine learning models and workflows.

Other

  • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
  • A quiet, distraction-free environment to work from in your home.
  • A secure home internet connection with speeds >20 Mbps for downloads and >10 Mbps for uploads is required.
  • The workspace area accommodates all workstation equipment and related materials and provides adequate surface area to be productive.
  • Comprehensive medical, dental, vision, and life insurance benefits from the start of your employment