Talantix.io
Fullscript•11.03.26
AI SCORE 8.5

Senior Machine Learning Engineer - Remote Position

$140K–$180K/year
RemoteHealthTech
Python•TensorFlow•PyTorch•Machine Learning•Statistical Analysis•Cloud Computing

About the Role

We’re hiring a Senior Machine Learning Engineer to join our AI team and help strengthen and expand Fullscript’s AI-powered experiences. As a Senior Machine Learning Engineer, you will be instrumental in building innovative AI capabilities that assist clinicians in providing better services and help patients improve their health. This is a fantastic opportunity for a talented engineer to work remotely and make a significant impact in the health technology sector.

What You'll Do

  • Design and implement machine learning models to enhance Fullscript’s AI capabilities.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Analyze large datasets to extract insights and improve model performance.
  • Develop and maintain scalable machine learning pipelines.
  • Stay up-to-date with the latest advancements in machine learning and AI technologies.

Requirements

  • 5+ years of experience as a Machine Learning Engineer or in a related field.
  • Proficiency in programming languages such as Python and experience with machine learning frameworks like TensorFlow or PyTorch.
  • Strong understanding of statistical analysis and data modeling.
  • Experience with cloud platforms (AWS, Azure, or Google Cloud) for deploying machine learning models.
  • Excellent problem-solving skills and the ability to work independently in a remote environment.

Nice to Have

  • Experience in the health technology sector or working with healthcare data.
  • Familiarity with natural language processing (NLP) techniques.
  • Knowledge of data visualization tools.

What We Offer

  • Competitive salary in the range of $140,000 to $180,000 annually.
  • Flexible remote work environment.
  • Health and wellness benefits.
  • Opportunities for professional development and growth.
  • A chance to make a real difference in the healthcare industry.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This role offers a unique opportunity to work remotely as a Senior Machine Learning Engineer at Fullscript, a leader in health technology. With a competitive salary and a chance to innovate in AI, this position is highly attractive.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python with extensive experience in TensorFlow and PyTorch for building and deploying machine learning models, ensuring efficient and scalable solutions in cloud environments.

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Self-motivated and adaptable, thriving in a remote work environment that requires strong time management skills and the ability to collaborate asynchronously with cross-functional teams.

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Deep understanding of statistical analysis and its applications in machine learning, with a mindset geared towards continuous learning and experimentation to refine algorithms and improve model accuracy.

Learning Resources

→Python for Data Science Handbookguide
→Deep Learning with PyTorch: A 60 Minute Blitzguide
→Machine Learning Specialization by Andrew Ngcourse

Career Path

Senior Machine Learning Engineer(Now)→Lead Machine Learning Engineer(1-2 years)→Director of Machine Learning(3-5 years)

Market Overview

Market Size 2024
$23.2B
Annual Growth
34.5%
AI Adoption
78%
Investment in AI Startups
+45%
Labour Demand for ML Engineers
+30%
Avg Salary for Senior ML Engineers
$145K

Skills & Requirements

Required
PythonTensorFlowPyTorch
Growing in Demand
Deep LearningNatural Language Processing (NLP)MLOps
Declining
R for Statistical AnalysisApache Mahout

Domain Trends

Increased Cloud Integration
Over 60% of ML projects are now deployed in cloud environments, reflecting the shift towards scalable and flexible data solutions.
Rise of Automated Machine Learning (AutoML)
The AutoML market is expected to grow by 40% in 2024, indicating a trend towards simplifying model development and deployment.
Focus on Ethical AI
About 70% of organizations are prioritizing ethical considerations in AI development, leading to increased demand for professionals skilled in responsible AI practices.

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