Hello, our name is Customertimes, but you can call us CT. We are a global digital engineering, product development, and technology consulting company. With deep expertise and a global reach, we align tech solutions with business goals.
30 травня 2025

Data Scientist Senior — ML expertise JR — 85541 (вакансія неактивна)

віддалено

Job Description

Customertimes is a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1300+ experts and offices in 12 countries.

Requirements:

  • Strong proficiency in Python;
  • 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with LLMs is strongly preferred;
  • Familiarity with LLM-based prompt engineering and text processing workflows;
  • Basic familiarity with Spark, Databricks, and MLFlow environments (for interacting with infrastructure, not deep configuration);
  • Experience working in AWS environments;
  • Comfort with object-oriented programming concepts (e.g., using/extending classes, Pydantic models);
  • Experience working with Anthropic models (preferred) or other major LLMs (OpenAI, LLAMA, etc.);
  • Familiarity with RAG (Retrieval Augmented Generation) concepts (not core but potentially useful in the future);
  • Basic exposure to classical NLP (e.g., LSTM architectures, non-LLM text processing);
  • Healthcare or clinical text processing experience is a strong plus, but not required;
  • Understanding of model evaluation metrics (classification, regression) and statistical validation basics.

Responsibilities:

  • Process electronic medical record documents into a form suitable for LLMs;
  • Design and craft effective prompts for information extraction;
  • Evaluate LLM performance against human-labeled ground truth;
  • Collaborate with clinicians, epidemiologists, and statisticians to align extracted data with clinical meaning;
  • Troubleshoot and iterate extraction pipelines;
  • Integrate with internal ML infrastructure and production environments.

What We Offer:

  • Competitive monthly compensation in USD, based on experience and skills.
  • Benefits will be communicated during the application process, in accordance with your location.