AI Engineer PyTorch & MLOps

Join a dynamic team focused on scaling advanced AI solutions for production environments. This role centers on building, training, deploying, and optimizing deep learning models, as well as developing robust data processing pipelines. You will collaborate closely with software, product, and data teams to integrate models into cloud-based services, ensuring seamless deployment and operational excellence. The position also involves monitoring model performance, troubleshooting issues, and driving improvements in speed and reliability for mission-critical applications.

Deliverables

Design, develop, and deploy deep learning models using PyTorch and related frameworks

Build and maintain scalable data processing pipelines for model training and inference

Integrate machine learning models into cloud services (AWS or GCP) and APIs

Monitor, evaluate, and optimize model performance in production environments

Collaborate with cross-functional teams to deliver end-to-end AI solutions

Implement MLOps best practices for continuous integration and deployment

Troubleshoot and resolve issues related to model reliability and scalability

Requirements

Minimum 3 years of experience building and deploying machine learning models in production

Proficiency in Python and at least one of C++ or Java

Hands-on experience with PyTorch, TensorFlow, or Scikit-learn

Strong background in Docker, Kubernetes, and cloud platforms (AWS or GCP)

Experience designing and maintaining data pipelines and APIs

Solid understanding of MLOps, CI/CD, and model monitoring

Advanced SQL skills for data manipulation and analysis

Excellent English communication skills for collaboration with international teams

Ability to work independently and deliver results in a fast-paced environment

About Twine

Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.

Our Mission

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