AI Engineer – PyTorch & MLOps (Contract)

Twine; Schweiz; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

Twine is seeking a senior ML engineer to lead the development and deployment of advanced machine learning solutions at scale in Switzerland. You will design robust deep learning models, optimize production ML services, and implement modern MLOps practices to ensure performance and reliability.

You will collaborate with cross-functional teams to deliver AI-driven features and ensure seamless integration with backend systems, cloud platforms, and data pipelines.

Qualifikationen

• Minimum 6 years of experience deploying machine learning solutions in production environments.
• Advanced proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow).
• Strong background in MLOps, including Docker, Kubernetes, and CI/CD pipelines.
• Hands-on experience with cloud platforms (AWS, GCP) and scalable backend integrations.
• Proficient in SQL and data engineering for large-scale data processing.
• Demonstrated ability to optimize model inference and system performance.
• Excellent communication skills and experience collaborating with distributed teams.
• Strong problem-solving skills and attention to detail.

Aufgaben

• Design, develop, and deploy deep learning models using Python, PyTorch, and TensorFlow
• Build and maintain scalable data pipelines and APIs for production ML services
• Implement and manage MLOps workflows, including model monitoring, versioning, and CI/CD automation
• Optimize inference performance, reliability, and latency across cloud infrastructure (AWS, GCP)
• Collaborate with product, data, and engineering teams to define technical requirements and deliverables
• Conduct code reviews, contribute to technical design discussions, and ensure best practices in ML engineering
• Troubleshoot and resolve issues in production ML systems, ensuring high availability and robustness

Kenntnisse

Python

PyTorch

TensorFlow

MLOps

SQL

Data engineering

Tools

Docker

Kubernetes

CI/CD

Jobbeschreibung

Join a dynamic team to drive the development and deployment of advanced machine learning solutions at scale. This role focuses on building robust deep learning models, optimizing production ML services, and implementing modern MLOps practices to ensure high performance, reliability, and scalability. You will work closely with cross-functional teams to deliver impactful AI-driven features and maintain seamless integration with backend systems.

Responsibilities

• Design, develop, and deploy deep learning models using Python, PyTorch, and TensorFlow
• Build and maintain scalable data pipelines and APIs for production ML services
• Implement and manage MLOps workflows, including model monitoring, versioning, and CI/CD automation
• Optimize inference performance, reliability, and latency across cloud infrastructure (AWS, GCP)
• Collaborate with product, data, and engineering teams to define technical requirements and deliverables
• Conduct code reviews, contribute to technical design discussions, and ensure best practices in ML engineering
• Troubleshoot and resolve issues in production ML systems, ensuring high availability and robustness

Skills And Requirements

• Minimum 6 years of experience deploying machine learning solutions in production environments
• Advanced proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow)
• Strong background in MLOps, including Docker, Kubernetes, and CI/CD pipelines
• Hands-on experience with cloud platforms (AWS, GCP) and scalable backend integrations
• Proficient in SQL and data engineering for large-scale data processing
• Demonstrated ability to optimize model inference and system performance
• Excellent communication skills and experience collaborating with distributed teams
• Strong problem-solving skills and attention to detail

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

Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.