Overview
Skills
Job Details
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:
- Note; Location: Fully remote as long as located near client s satellite in Chicago, Philadelphia, Washington D.C., Baltimore, Delaware, etc.
- Deep Learning & Neural Networks
- Design and implement deep learning models using TensorFlow, PyTorch, and transformer architectures.
- Fine-tune pre-trained models for domain-specific tasks involving text, image, or audio datasets.
- Optimize and deploy models on NVIDIA GPU hardware (e.g., A100, H100) for high-performance inference.
- Develop LLMOps context aware pipelines for chat applications using python frameworks.
- Collaborate with data scientists and product teams to integrate models into production systems.
- API Development & Integration
- Develop and maintain RESTful and gRPC APIs for model serving and data access.
- Manage the full API lifecycle, including versioning, documentation, and security.
- Integrate APIs with internal and external applications using FastAPI or similar Python frameworks.
- Azure Cloud Engineering
- Create and manage Azure Container Apps, Container Registries, and Docker images.
- Deploy and monitor Azure Web Apps for hosting AI services and dashboards.
- Automate CI/CD pipelines using GitHub Actions for seamless deployment and updates.
Key Requirements and Technology Experience:
- Key skills; ML/AI
- Utility background
- Deep learning
- 5+ years of experience in Python development with a focus on deep learning.
- Hands-on experience with transformers, Hugging Face, and custom model training.
- Proven track record of deploying models on GPU-based infrastructure.
- Strong understanding of API design principles and microservices architecture.
- Experience with Azure cloud services, Docker, and GitHub Actions.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
- Experience with multi-modal models or generative AI applications.
- Familiarity with MLOps tools and practices.
- 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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