Senior Machine Learning Scientist
Posted on :
09-12-2024
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1 Vacancy
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Job Description
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.
- Design develop and optimize machine learning models to enhance healthcare delivery and decisionmaking.
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.
- Collaborate with data engineers and analysts to preprocess clean and prepare large complex datasets.
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.
- Deploy and integrate machine learning models into production environments ensuring robustness and reliability.
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.
- Work closely with crossfunctional teams including engineering product and clinical experts to align AI solutions with business objectives.
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.
- Conduct experiments to evaluate and compare algorithms models and techniques.
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
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.
Employment Type
Full Time
Key Skills
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