Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 6-month contract, offering a hybrid work location. Key skills include deep learning (PyTorch, TensorFlow), Kubernetes, and experience with CV models. Proven real-world deployment experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 29, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Hybrid
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📄 - Contract type
Fixed Term
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Orlando, FL
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🧠 - Skills detailed
#ML (Machine Learning) #Scala #Kubernetes #Monitoring #Deep Learning #PyTorch #TensorFlow #Deployment #Model Optimization #Model Evaluation #Linux
Role description
4 Corner Resources is searching for a Machine Learning Engineer to support the development and deployment of advanced CV models in a production environment. This role combines deep learning expertise with infrastructure engineering, contributing to scalable ML workflows that power real-world applications.
Key responsibilities:
• Deploy and optimize high-performance CV models (e.g., YOLO, OWL) for speed and accuracy
• Build scalable training and deployment pipelines using Kubernetes and Ubuntu-based systems
• Conduct hyperparameter tuning and model optimization to align with technical and business KPIs
• Develop reusable tools for model evaluation, monitoring, and performance tracking
• Work cross-functionally to integrate CV models into production environments and automate the ML lifecycle
• Stay informed on emerging research in computer vision and apply cutting-edge methods (e.g., foundation models, prompt-based detection)
Qualifications:
• Proven experience deploying computer vision models in real-world environments
• Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Hands-on experience with containerization, orchestration (Kubernetes), and Linux-based systems
• Solid understanding of MLOps best practices and production ML pipelines
• Familiarity with modern CV techniques and the ability to translate research into practical solutions
Location: Hybrid (Onsite/Remote)
Duration: 6-month contract
4 Corner Resources is searching for a Machine Learning Engineer to support the development and deployment of advanced CV models in a production environment. This role combines deep learning expertise with infrastructure engineering, contributing to scalable ML workflows that power real-world applications.
Key responsibilities:
• Deploy and optimize high-performance CV models (e.g., YOLO, OWL) for speed and accuracy
• Build scalable training and deployment pipelines using Kubernetes and Ubuntu-based systems
• Conduct hyperparameter tuning and model optimization to align with technical and business KPIs
• Develop reusable tools for model evaluation, monitoring, and performance tracking
• Work cross-functionally to integrate CV models into production environments and automate the ML lifecycle
• Stay informed on emerging research in computer vision and apply cutting-edge methods (e.g., foundation models, prompt-based detection)
Qualifications:
• Proven experience deploying computer vision models in real-world environments
• Strong background in deep learning frameworks (e.g., PyTorch, TensorFlow)
• Hands-on experience with containerization, orchestration (Kubernetes), and Linux-based systems
• Solid understanding of MLOps best practices and production ML pipelines
• Familiarity with modern CV techniques and the ability to translate research into practical solutions
Location: Hybrid (Onsite/Remote)
Duration: 6-month contract
