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Director Graduate Machine Learning Jobs in Missouri

Jobtailor

Senior Machine Learning Engineer

California, MO · On-site

$93K - $128K/yr

Recent graduate: graduated within the past 12 months or graduating by Spring 2027 * PhD degree in ... Machine Learning Model Development * TensorFlow * PyTorch * AWS * Data Processing ATS Optimization ...

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Director Graduate Machine Learning information

What is the difference between Director Graduate Machine Learning vs Data Scientist?

AspectDirector Graduate Machine LearningData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), strong machine learning backgroundTypically Bachelor's or Master's, focus on data analysis and modeling
Work EnvironmentLeadership role, strategic planning, overseeing teamsHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, research institutions, large enterprisesVariety of industries including finance, healthcare, tech
Search & Comparison IntentUnderstanding leadership roles in MLData analysis and modeling skills

The main difference is that a Director Graduate Machine Learning typically holds a leadership position overseeing ML teams and strategy, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on hands-on data analysis, modeling, and experimentation without necessarily managing teams or setting strategic direction.

What are the most commonly searched types of Graduate Machine Learning jobs in Missouri?

The most popular types of Graduate Machine Learning jobs in Missouri are:

What cities in Missouri are hiring for Director Graduate Machine Learning jobs?

Cities in Missouri with the most Director Graduate Machine Learning job openings:

Director Graduate Machine Learning jobs near you

Senior Machine Learning Engineer

California, MO • On-site

Jobtailor
See more jobs at Jobtailorexternal

$93K - $128K/yr

Other

Posted 2 days ago

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Job description

Design, develop, and implement machine learning models and algorithms for complex problems
Work with data scientists, software engineers, and product teams on AI/ML solutions
Build scalable machine learning pipelines
Ensure data quality
Deploy models into production environments
Develop and optimize machine learning models
Preprocess and analyze large datasets
Integrate ML models into products and services
Monitor and evaluate deployed model performance
Drive business insights and improve customer experiences

Requirements
  • 3+ years relevant experience and a Bachelor’s degree OR any equivalent combination of education and experience
  • Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
  • Familiarity with cloud platforms including AWS, Azure, or GCP
  • Familiarity with tools for data processing and model deployment
  • Several years of experience designing, implementing, and deploying machine learning models
  • Recent graduate: graduated within the past 12 months or graduating by Spring 2027
  • PhD degree in Computer Science or a related field from an accredited college or university
  • Must be legally able to work without PayPal visa sponsorship; visa sponsorship is not available now or in the future
Core Competencies

Demonstrates expertise in designing, developing, and deploying machine learning models and algorithms, with a strong focus on data quality and performance evaluation. Proficient in utilizing ML frameworks and cloud platforms to drive business insights and enhance customer experiences.

Highest-signal resume keywords
  • Machine Learning Model Development
  • TensorFlow
  • PyTorch
  • AWS
  • Data Processing
ATS Optimization KeywordsHard Skills
  • Machine Learning
  • Model Deployment
  • Data Analysis
  • Algorithm Design
  • Model Optimization
Certifications & Qualifications
  • Bachelor's Degree
  • PhD in Computer Science
Industry Keywords
  • AI/ML Solutions
  • Scalable Machine Learning Pipelines
  • Data Quality
  • Model Performance Monitoring
Tools & Technologies
  • Cloud Platforms
  • ML Frameworks
  • Data Processing Tools
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