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.
