Machine Learning Engineer
Posted on :
26-01-2025
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1 Vacancy
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Job 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 AIdriven 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 realtime and batch processing.
- Collaboration with CrossFunctional Teams
- Work closely with clinical operational and technical teams to understand business goals and translate them into datadriven 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 Scikitlearn.
- 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 problemsolving skills and the ability to work in a fastpaced collaborative environment.
Preferred Skills
- Experience in the healthcare domain or with digital health platforms.
- Handson 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 missiondriven team transforming healthcare in underserved communities.
- Opportunity to work on cuttingedge 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.
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).
Employment Type
Full Time
Key Skills
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