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