Machine Learning Engineer

3 weeks ago


Clayton, United States Saxon Global Full time

This is a 12 month contract with Centene Corporation. 100% remote. Visa - All but ho H1B. Must have LI.

Position Purpose:
Perform tasks required to implement predictive modeling features as software, including building artificial intelligence (AI), machine learning (ML), and statistical models; packaging, deploying, integrating, and supporting AI/ML models; and building platforms and processes to facilitate the development of AI/ML models by others.

Education/Experience:
Bachelor's degree in Computer Science, Data Science, Statistics, Math, Physics, or similar quantitative field or equivalent experience. 5+ years of related experience required. Software engineering proficiency in 2+ programming languages, databases, version control, statistics, or machine learning required. Preferred experience: SQL and noSQL databases, writing and consuming APIs, application containers (e.g. Docker), streaming data, building predictive models, compute clouds, creating database schemas, Linux administration, continuous integration/continuous deployment.

Responsibilities

Writes software code to enable and automate ML/AI model training and deployment
Deploys predictive models using established software patterns
Writes code to extract data from a variety of databases and data sources
Writes reusable code libraries for use by other machine learning engineers
Trains data scientists and machine learning engineers in best practices
Builds ML/AI models using common methods within R and Python
Investigates and adapts new software platforms for ML/AI and data engineering

Walk me through the day to day responsibilities of this the role and a description of the project:

  • Writes software code to enable and automate ML/AI model training and deployment
  • Builds ML/AI models using common methods in Python
  • Deploys predictive models using established software patterns
  • Writes code to extract data from variety of databases and data sources
  • Writes reusable code libraries for use by other machine learning engineers
  • Trains data scientists and machine learning engineers in best practices
  • Investigates and adapts new software platforms for ML/AI and data engineering
Describe the performance expectations/metrics for this individual and their team:
  • Develop and test model hypotheses based on experimental results
  • Architect and Develop ML solutions for stakeholders from design to deployment and integration
  • Trains data scientists and machine learning engineers in best practices
  • Reviews and provides constructive feedback of team members' code/merge requests
  • Support models in production
  • Actively participates in team discussions
Tell me about what their first day looks like:
  • Meet team, get and verify accesses, set up system with help of team members.
What previous job titles or background work will in this role?
  • Data Scientist, Machine Learning Engineer, Machine Learning Researcher, Artificial Intelligence Researcher, Artificial Intelligence Engineer,


Education Requirement:

Bachelor's

Education Preferred:

MS/PhD

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