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Principal AI/ML Operations Platform Engineer ()

Date Posted: Jun 23, 2026
Yearly: USD - USD
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Job Detail

  • location_on
    Location Hollywood, Florida, United States of America
  • desktop_windows
    Job Type: Any
  • schedule
    Shift:
  • analytics
    Career Level:
  • group
    Positions:
  • calendar_view_day
    Experience:
  • male
    Gender: No Preference
  • school
    Degree:
  • calendar_month
    Apply Before: Sep 21, 2026
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Job Description

Overview

The Principal AI/ML Operations Platform Engineer will design, build, and deploy machine learning models to derive actionable insights and solve complex problems. This role encompasses the full lifecycle of ML model development, working closely with Data Scientists to ensure seamless integration and functionality of ML systems.

Key responsibilities

  • Design and deploy machine learning models
  • Prepare data and perform feature engineering
  • Train, evaluate, and deploy ML models
  • Apply various ML algorithms and techniques
  • Assemble modules into end-to-end systems
  • Collaborate with Data Scientists for model construction and validation
  • Contribute to ML systems' continuous improvement

Required skills

  • Programming in Python
  • Machine Learning and Deep Learning frameworks (e.g., Scikit-learn, PyTorch, TensorFlow)
  • Natural Language Processing tools (e.g., NLTK, spaCy)
  • Terraform
  • Kubernetes
  • CI/CD tools
  • AWS or Azure cloud ecosystems
  • Experience in software development operations and data engineering
  • Knowledge of programming languages including R and SQL
  • Cloud operations and DevSecOps

What the company offers

  • Potential for telecommuting
  • Flexible work location near Miramar, Florida or Dallas, Texas
  • Up to 10% domestic travel

Skills Required

Company Overview

Placement Services USA, Inc.
Hollywood, Florida, United States of America
14 Current Jobs Openings

Placement Services USA, Inc. specializes in providing employment and recruitment services across various industries. Their expertise includes matching candidates with appropriate job opportunities based on skills and experience. Read More

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