Artificial Intelligence Engineer

Brooksource; New York (NY); Remote; Full time

Job summary

A leading company in Broadcast Media & Entertainment seeks an AI Engineer to develop and deploy machine learning models for video content understanding. Collaborate with cutting-edge teams, and enhance your skills in a fast-paced environment while significantly impacting media solutions and innovations.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• 3+ years experience in deploying AI/ML models.
• Proficiency in Python and ML frameworks.
• Strong foundation in supervised/unsupervised learning.

Responsibilities

• Design and train deep learning models for video analysis.
• Integrate AI models into video pipelines.
• Monitor and retrain models based on feedback.

Skills

Python

Machine Learning

Computer Vision

Problem Solving

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

This range is provided by Brooksource. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$70.00/hr - $85.00/hr

12-month contract

Remote

We are seeking an experienced AI Engineer to join a Fortune 50 Broadcast Media & Entertainment leader located in Englewood Cliffs, NJ. In this role, you will be responsible for designing, training, and deploying machine learning models focused on video content understanding and intelligent media workflows. You will work closely with computer vision engineers and platform teams to deliver scalable AI solutions powering next-generation streaming and video analytics tools.

Minimum Qualifications:

• 3+ years of experience building and deploying AI/ML models in production environments
• Proficiency in Python and modern ML frameworks (e.g., TensorFlow, PyTorch)
• Strong foundation in supervised and unsupervised learning techniques
• Experience with model training, validation, and optimization using large-scale datasets
• Ability to develop and test model pipelines, including data preprocessing and feature engineering
• Knowledge of computer vision applications, including image and video analysis
• Familiarity with containerized deployments using Docker and Kubernetes
• Strong problem-solving and collaboration skills

Preferred Qualifications:

• Hands-on experience with convolutional neural networks (CNNs), transformers, or other deep learning architectures
• Experience working with video data pipelines and media asset metadata
• Knowledge of MLOps tools for experiment tracking, model versioning, and automated retraining
• Familiarity with REST APIs and cloud-based deployment environments (e.g., AWS, GCP)

Responsibilities:

• Design and train deep learning models for tasks such as video classification, object recognition, and metadata enrichment
• Work alongside computer vision engineers to integrate AI models into video pipelines
• Tune hyperparameters and validate models for performance, accuracy, and scalability
• Package models for deployment using Docker/Kubernetes and collaborate with DevOps for infrastructure integration
• Continuously monitor and retrain models based on production data and user feedback
• Stay up to date with the latest advancements in machine learning and computer vision research

What’s in it for you?

• Opportunity to build cutting-edge AI systems powering media intelligence and streaming innovations
• Collaborate with forward-thinking teams solving high-impact, real-world challenges
• Join a high-performance engineering environment where your work directly supports strategic initiatives
• Advance your skills in AI, MLOps, and large-scale deployment systems

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology and Engineering

• Industries

  IT Services and IT Consulting and Technology, Information and Media

Referrals increase your chances of interviewing at Brooksource by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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