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Machine Learning Engineer

tailorcare2023 · 30+ days ago
Remote
Negotiable
Full-time
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About TailorCare

TailorCare is transforming the experience of specialty care. Our comprehensive care program takes a deeply personal, evidence-based approach to improving patient outcomes for joint, back, and muscle conditions. By combining a careful assessment of patients’ symptoms, health histories, preferences, and goals with predictive data and latest evidence-based guidelines, we help patients choose—and navigate—the most effective treatment pathway for them, every step of the way.

TailorCare values the experiences and perspectives of individuals from all backgrounds. We are a highly collaborative, curious, and determined team passionate about scaling a high-growth start-up to improve the lives of those in pain. TailorCare is a remote-first company with a hybrid office in Nashville.

About the Role

We are looking to expand our Machine Learning and Data Science capabilities. In your role as a Machine Learning Engineer, you will rapidly prototype, deploy, and maintain machine learning models that power important clinical and business workflows.  You’ll have an opportunity to build ML Models for real-world healthcare data. Your models will be deployed immediately to critical operations centers with live customers. The richness and volume of our data offer limitless opportunities to apply Gen AI, LLMs (Large language Models), NLP (natural Language Processing), Computer Vision, Core ML (XGBoost, NN, DNN, etc.), statistics and A/B testing.

Primary Responsibilities

  • Work with cross-functional teams, including data scientists, data analysts, data engineers, and product managers, to understand the business problem, digest and prepare the data, and explore suitable ML modeling solutions.
  • Design and build cutting edge machine learning models for structured/unstructured, labeled/unlabeled and mixed-mode healthcare data.
  • Validate the models thoroughly in real-world scenarios before deploying to production using the latest MLOps best practices.
  • Play a key role in setting up ML workflows using Databricks and GitHub so the models are automatically retrained and remain fresh to score the latest data.
  • Set up smart monitors to ensure model performance and reliable predictions to drive operations and outcomes.
  • Automate and document models and data assets that can be used by other ML engineers and data scientists.
  • Explore and innovate on applications of machine learning with our data.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience required
  • 3+ years’ experience as a Machine Learning Engineer or Data Scientist.
  • 3+ years’ experience with Python or Scala and machine learning frameworks: scikit-learn, PyTorch, XGBoost, TensorFlow, Keras, OpenCV, etc.
  • 1+ years experience with DNN (Deep Neural Networks), NLP, LLM (Large Language Models), Prompt Engineering, LangChain, and RAG (Retrieval-Augmented Generation).

Preferred Qualifications

  • Experience with Databricks, Pyspark, MLFlow, GitHub, and CI/CD processes.
  • Experience with healthcare datasets, terminologies, etc.
  • Experience working in an agile environment with SCRUM.

Skills

  • Scientific Approach – Ability to start with an open-ended question and design/execute an analysis to answer that question
  • Engineering Mentality – Always thinking about common denominators across work and how to build a platform that facilitates fast model development and deployment
  • Seek Simplicity – Build solutions with the minimum necessary complexity and with consideration for ongoing maintainability and improvement

What's In It For You

  • Meaningful work each day, we care deeply about our mission, our patients, and each-other. 
  • Work from anywhere in the US that best fits your lifestyle, or, for those that enjoy an in-person environment, join teammates in our hybrid hub Nashville. 
  • Rich PTO and holiday plans to ensure you have time away to rest and recharge.
  • We offer paid parental leave, support a healthy work-life integration, and offer work flexibility – we love to talk about our pets and families.
  • Medical, dental, vision, life, disability, wellness resources, and an employer HSA contribution all from Day 1. 
  • We are committed to fair and equitable pay for all employees, and we help you achieve your future goals with an employer match 401k.
  • An inclusive workplace where you can lean on your teammates, offer candid feedback, and bring your true self to work each day. 

TailorCare seeks to recruit and retain staff from diverse backgrounds and encourages qualified candidates to apply. TailorCare is an equal opportunity employer and does not discriminate on the basis of age, sex, gender identity/expression, sexual orientation, color, race, creed, national origin, ancestry, religion, marital status, political belief, physical or mental disability, pregnancy, military, or veteran status.

Last updated on Aug 23, 2024

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