Senior Machine Learning Engineer
Company : Revival Talent, in partnership with a leading innovator in health tech
Location : Hybrid (San Francisco Bay Area)
Salary : Up to $220,000
Benefits : Comprehensive benefits package including health insurance, dental and vision coverage, retirement plans (401k) with employer match, paid time off (PTO), flexible working hours, hybrid remote work options, wellness programs, and more.
Job Description :
Revival Talent, in partnership with a leading innovator in health tech, is seeking a Senior Machine Learning Engineer for a remote (hybrid) role.
You’ll be instrumental in advancing machine learning capabilities within the healthcare industry, focusing on developing sophisticated models to optimize healthcare recommendation systems.
Responsibilities :
- Identify actionable insights into customer behavior in the healthcare domain.
- Develop and implement advanced machine-learning features tailored for healthcare recommendation systems.
- Lead the deployment and fine-tuning of machine learning models in our healthcare recommendation infrastructure.
Technical Requirements :
- 5+ years of experience as a Senior Machine Learning Engineer, preferably in healthcare / medical software.
- Expertise in machine learning principles and methodologies, particularly in healthcare applications.
- Proficiency in Python or similar programming languages.
- Experience with ML libraries like pandas, numpy, scikit-learn, or deep learning frameworks such as PyTorch.
- Strong data analysis skills using SQL or big-data processing frameworks like Spark.
- Familiarity with remote collaboration tools and hybrid work environments.
If you're a seasoned Senior Machine Learning Engineer local to the San Francisco Bay Area with a background in healthcare / medical software, looking to drive impact in a collaborative, remote-friendly environment, apply now through Revival Talent Solutions to join our esteemed partner in advancing healthcare technology.
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