

Machine Learning(Deep Learning) Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning (Deep Learning) Engineer with a contract length of 4+ months, offering $53 - $55/hour. Key skills include deep learning, Python, Azure, and API development. Utility industry experience is preferred. Remote work available.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
440
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ποΈ - Date discovered
August 7, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Remote
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Philadelphia, PA
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π§ - Skills detailed
#Consulting #Microservices #TensorFlow #Data Access #Deep Learning #API (Application Programming Interface) #Cloud #Data Science #Azure cloud #GitHub #ML (Machine Learning) #FastAPI #Deployment #Docker #Python #Hugging Face #Security #AI (Artificial Intelligence) #Azure #"ETL (Extract #Transform #Load)" #Neural Networks #Datasets #PyTorch #Transformers #Documentation
Role description
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Immediate need for a talented Machine Learning(Deep Learning) Engineer. This is a 04+ months contract opportunity with long-term potential and is located in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware(Remote). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-81023
Pay Range: $53 - $55/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
β’ Note; Location: Fully remote as long as located near clientβs satellite in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware, etc.
β’ Deep Learning & Neural Networks
β’ Design and implement deep learning models using TensorFlow, PyTorch, and transformer architectures.
β’ Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.
β’ Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference.
β’ Develop LLMOps context aware pipelines for chat applications using python frameworks.
β’ Collaborate with data scientists and product teams to integrate models into production systems.
β’ API Development & Integration
β’ Develop and maintain RESTful and gRPC APIs for model serving and data access.
β’ Manage the full API lifecycle, including versioning, documentation, and security.
β’ Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.
β’ Azure Cloud Engineering
β’ Create and manage Azure Container Apps, Container Registries, and Docker images.
β’ Deploy and monitor Azure Web Apps for hosting AI services and dashboards.
β’ Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.
Key Requirements and Technology Experience:
β’ Key skills; ML/AI
β’ Utility background
β’ Deep learning
β’ 5+ years of experience in Python development with a focus on deep learning.
β’ Hands-on experience with transformers, Hugging Face, and custom model training.
β’ Proven track record of deploying models on GPU-based infrastructure.
β’ Strong understanding of API design principles and microservices architecture.
β’ Experience with Azure cloud services, Docker, and GitHub Actions.
β’ Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
β’ Experience with multi-modal models or generative AI applications.
β’ Familiarity with MLOps tools and practices.
β’ Contributions to open-source AI projects or publications in relevant fields.
Our client is a leading Public Utility Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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