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Director of Product Ops, AI and Machine Learning (AI/ML) ()

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

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

Job Description

Overview

The Director of Product Operations for AI and Machine Learning (AI/ML) will lead efforts to implement and manage ML operations practices and tools. This role involves streamlining the development, deployment, and monitoring of ML models while fostering collaboration across various teams.

Key responsibilities

  • Lead the implementation and management of ML operations practices and tools
  • Monitor and analyze model performance metrics to identify optimization opportunities
  • Collaborate with data science teams to implement automated hyperparameter tuning pipelines
  • Hire, train, and lead a high-performing team of data platform operations professionals
  • Build and maintain partnerships with cross-functional teams
  • Stay updated with emerging trends and technologies in data management and ML operations

Required skills

  • Bachelor's degree in computer science, software engineering, electronic engineering, or related field
  • 7 years of experience in ML platform operations
  • 4 years in a leadership role
  • Knowledge of ML operations tools and frameworks
  • Experience with cloud platforms, security and compliance, risk management, and CI/CD
  • Strong strategic thinking and innovation skills
  • Expertise in stakeholder and change management

What the company offers

Not specified in the original listing.

Skills Required

Company Overview

Hollywood, Florida, United States of America

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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