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. #J-18808-Ljbffr
AI Engineer – PyTorch & MLOps (Contract) Arbeitgeber: Twine
Twine bietet eine hervorragende Arbeitsumgebung für kreative Köpfe, die in der dynamischen Welt der Videobearbeitung tätig sind. Als vollständig remote arbeitendes Unternehmen fördern wir eine flexible und unterstützende Kultur, die es unseren Mitarbeitern ermöglicht, ihre Fähigkeiten weiterzuentwickeln und an spannenden Projekten zu arbeiten. Unsere Mitarbeiter profitieren von einer Vielzahl von Wachstumschancen und einem kreativen Austausch, der die Zusammenarbeit über geografische Grenzen hinweg fördert.
