This is a remote position.
We are seeking a Senior Machine Learning Scientist to lead the research and development of innovative AI and machine learning models for mDoc s health tech platform. The ideal candidate will have a strong background in machine learning deep learning and data science with a proven ability to solve complex problems and deliver impactful results.
Key Responsibilities
Research & Model Development
- Design develop and optimize machine learning models to enhance healthcare delivery and decisionmaking.
- Conduct research to identify and implement stateoftheart algorithms in areas such as natural language processing (NLP) predictive analytics and recommendation systems.
Data Analysis & Feature Engineering
- Collaborate with data engineers and analysts to preprocess clean and prepare large complex datasets.
- Identify and extract meaningful features to improve model performance and scalability.
Model Deployment & Monitoring
- Deploy and integrate machine learning models into production environments ensuring robustness and reliability.
- Monitor model performance and iteratively improve using realworld feedback and data.
Collaboration & Leadership
- Work closely with crossfunctional teams including engineering product and clinical experts to align AI solutions with business objectives.
- Mentor junior data scientists and machine learning engineers fostering a culture of innovation and learning.
Experimentation & Continuous Improvement
- Conduct experiments to evaluate and compare algorithms models and techniques.
- Stay updated on the latest trends and advancements in machine learning and AI to drive innovation.
Requirements
Qualifications
- Ph.D. or Master s degree in Computer Science Machine Learning Data Science or a related field.
- 5 years of experience in machine learning data science or AI research and development.
- Strong expertise in Python and libraries such as TensorFlow PyTorch or Scikitlearn.
- Proven track record of developing and deploying machine learning models in production environments.
- Deep understanding of algorithms statistics and advanced techniques in machine learning and AI.
Preferred Skills
- Experience with NLP computer vision or timeseries analysis.
- Familiarity with cloud platforms such as AWS Azure or Google Cloud for model deployment and scalability.
- Knowledge of healthcare data standards and compliance (e.g. HIPAA FHIR).
- Strong communication and presentation skills to share findings with technical and nontechnical stakeholders.
Benefits
Leadership opportunities in shaping AIdriven solutions for a missiondriven organization.
The chance to work on impactful projects that improve healthcare access and outcomes.
A collaborative and innovative environment focused on professional growth.
The ability to apply cuttingedge machine learning techniques to solve realworld problems in healthcare.
Ph.D. or Master s degree in Computer Science, Machine Learning, Data Science, or a related field. 5+ years of experience in machine learning, data science, or AI research and development. Strong expertise in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn. Proven track record of developing and deploying machine learning models in production environments. Deep understanding of algorithms, statistics, and advanced techniques in machine learning and AI.