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
- Model Development & Deployment
- Design, develop, and deploy machine learning models to improve health coaching, personalization, and predictive analytics.
- Implement models for patient risk stratification, medication adherence, adverse event prediction, and health literacy assessments.
- Data Management & Preprocessing
- Collect, clean, and preprocess large datasets from diverse sources, including health metrics, chatbot interactions, and user data.
- Design scalable data pipelines for real-time and batch processing.
- Collaboration with Cross-Functional Teams
- Work closely with clinical, operational, and technical teams to understand business goals and translate them into data-driven solutions.
- Collaborate with product managers and software engineers to integrate machine learning solutions into mDoc’s platform seamlessly.
- Model Evaluation & Optimization
- Evaluate model performance using appropriate metrics and refine models for better accuracy, scalability, and efficiency.
- Conduct A/B testing to measure the impact of machine learning solutions on user engagement and health outcomes.
- Innovation & Research
- Stay updated on the latest advancements in machine learning, AI, and health tech, and propose innovative approaches for implementation.
- Experiment with generative AI, natural language processing (NLP), and reinforcement learning to enhance platform capabilities.
- System Maintenance & Monitoring
- Monitor deployed models and systems for accuracy, performance, and reliability.
- Troubleshoot and resolve issues as they arise.
Requirements
Required Skills & Qualifications
- 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.
Preferred Skills
- Experience in the healthcare domain or with digital health platforms.
- Hands-on experience with NLP techniques and tools like SpaCy, Hugging Face, or OpenAI APIs.
- Knowledge of DevOps practices, containerization (Docker), and CI/CD pipelines.
- Strong understanding of data privacy, security, and compliance standards in healthcare (e.g., HIPAA).
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.
