Machine Learning Engineer

100% Remote

Max Salary at Conversion to Permanent is $150k plus bonus.

Job Description

About the Role

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.