mymdoc
mDoc is a health technology company that provides virtual self-care support to individuals managing chronic health conditions. Through innovative solutions such as CompleteHealth™, NaviHealth. ai™, and NudgeHubs™, mDoc empowers users with tailored resources and access to healthcare services. They focus on enhancing the wellness of their members by offering specialized programs for diabetes, hypertension, cancer support, and behavioral health, among others.
mHealth • Telehealth • Data • women • Health
Machine Learning Engineer
January 25
AWS
Azure
Cloud
Docker
Google Cloud Platform
MongoDB
Node.js
NoSQL
Python
PyTorch
Scikit-Learn
SQL
Tableau
Tensorflow
mymdoc
mDoc is a health technology company that provides virtual self-care support to individuals managing chronic health conditions. Through innovative solutions such as CompleteHealth™, NaviHealth. ai™, and NudgeHubs™, mDoc empowers users with tailored resources and access to healthcare services. They focus on enhancing the wellness of their members by offering specialized programs for diabetes, hypertension, cancer support, and behavioral health, among others.
mHealth • Telehealth • Data • women • Health
📋 Description
• This is a remote position. • We are seeking a highly skilled and innovative Machine Learning Engineer to join our dynamic team. • The successful candidate will play a critical role in developing and implementing machine learning models that power our AI-driven health coaching platform, optimize care delivery, and provide actionable insights for both users and healthcare providers. • Key Responsibilities include Model Development & Deployment, Data Management & Preprocessing, Collaboration with Cross-Functional Teams, Model Evaluation & Optimization, Innovation & Research, System Maintenance & Monitoring.
🎯 Requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field. • Proven experience in developing and deploying machine learning models in production environments. • Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Proficiency in working with SQL and NoSQL databases (e.g., MongoDB). • Experience with data visualization tools such as Power BI, Tableau, or Matplotlib. • Familiarity with cloud platforms such as AWS, GCP, or Azure for machine learning workflows. • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. • Experience in the healthcare domain or with digital health platforms (preferred). • Hands-on experience with NLP techniques and tools (preferred). • Knowledge of DevOps practices, containerization, and CI/CD pipelines (preferred). • Strong understanding of data privacy, security, and compliance standards in healthcare (preferred).
🏖️ Benefits
• Be part of a mission-driven team transforming healthcare in underserved communities. • Opportunity to work on cutting-edge AI solutions in a rapidly growing health tech space. • Competitive compensation and opportunities for professional growth. • Flexible working environment with a focus on innovation and impact.
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