MLOps Engineer

Hartford, CT, US • Posted 3 days ago • Updated 3 days ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Amazon SageMaker
  • Machine Learning (ML)
  • MLOps
  • Python
  • PySpark
  • PyTorch
  • SQL
  • Snow Flake Schema
  • NumPy
  • Pandas
  • Bash
  • scikit-learn

Summary

Job Title: MLOps Engineer

Location: Hartford ,CT (5 days onsite)

Type: Fulltime Position

Job Description:

Technical/Functional Skills

Must Have Technical/Functional Skills

1.Work Experience in SageMaker Knowledge in setting up CI/CD aws code pipeline for Machine Learning Models (Preferably in Cloud)

2.Dockers, Container Orchestration, ML Model Deployment and Monitoring and Maintenance

3.Design, build and scale reliable data pipelines using AWS (Python, PySpark and Snowflake)

4.Bash/Shell Scripting and SQL and ML Libraries Pandas, NumPy, PyTorch, Scikit-learn

5.Data and Model quality monitoring

6.S3, IAM, Lambda, step functions, Code build, ECR, ECS/Fargate

Roles & Responsibilities

ML Pipeline Development & Automation

Model Deployment & Serving

Development and maintenance

Monitoring & Performance Management

Security & Compliance

Continuous improvements

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91137892
  • Position Id: 8909791
  • Posted 3 days ago
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