Últimas informações de emprego de TransPerfect para o cargo de DevOps & MLOps Engineer. If the DevOps & MLOps Engineer vaga em Porto corresponde às suas qualificações, submeta a sua candidatura ou CV atualizado diretamente através do portal Jobkos.
Tenha em atenção que candidatar-se a um emprego exige o cumprimento de requisitos da empresa. Esperamos que a oportunidade em TransPerfect para o cargo de DevOps & MLOps Engineer abaixo seja adequada ao seu perfil.
Apply for the DevOps & ML Ops Engineer role at TransPerfect.
Responsibilities
Manage resource alLocalização and workload scheduling for multiple ML services, ensuring efficient utilization of CPU/GPU resources and creating reliable queues based on service priorities.
Maintain VM environments and manage OS updates, keeping up-to-date VM inventory.
Work alongside the Dev and QA teams to detect hot spots in our applications and set preventative measures before they become live issues.
Troubleshoot and provide solutions for system configurations.
Plan, execute, and test disaster recovery.
Monitor and examine all application, performance, event, and system logs to assist in troubleshooting.
File all IT/CoLocalização tickets, ensuring fulfillment of requests and escalating to the right person if necessary.
Design, develop, and maintain the infrastructure required for deploying and scaling machine learning services.
Implement and manage the CI/CD pipelines to ensure seamless and efficient deployment of ML models.
Collaborate with data scientists, ML researchers, and language experts to understand the requirements for deploying ML models and provide necessary infrastructure support.
Automate and streamline the build, test, and deployment processes to enhance efficiency and reduce time‑to‑market.
Monitor and optimize the performance, availability, and scalability of production ML systems.
Develop and maintain robust monitoring, logging, and alerting systems to proactively identify and address issues.
Implement security best practices to protect sensitive data and ensure compliance with relevant regulations.
Stay up-to-date with industry trends and emerging technologies related to ML Ops and DevOps, and propose innovative solutions to improve our ML service delivery.
Required Skills, Experience and Qualifications
Strong knowledge of cloud platforms (such as AWS, Azure, or GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms.
Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka).
Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure‑as‑code tools (e.g., Terraform, CloudFormation).
Hands‑on experience with containerization technologies (e.g., Docker) and orchestration frameworks (e.g., Kubernetes).
Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD) and version control systems (e.g., Git).
Solid understanding of networking, security, and system administration concepts.
Strong problem‑solving and troubleshooting skills, with the ability to quickly analyze and resolve issues in complex ML systems.
Excellent communication and collaboration skills, with the ability to work effectively in a team‑oriented environment.
Bachelor's or higher degree in Computer Science, Engineering, or a related field.
Proven experience as an ML Ops Engineer, DevOps Engineer, or a similar role, with a focus on deploying and maintaining machine learning models in production environments.
Desired Skills and Experience
Experience with machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit‑learn.
Familiarity with serverless computing and event‑driven architectures.
Experience with logging and monitoring tools (e.g., ELK Stack, Prometheus, Grafana).
Understanding of software development methodologies and agile practices.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
Engineering and Information Technology
Industries
Translation and Localization, Software Development, and IT Services and IT Consulting
By applying, I confirm I have read and accept TransPerfect's Política de Privacidade:
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Informação da Vaga:
Empresa: TransPerfect
Cargo: DevOps & MLOps Engineer
Local de Trabalho: Porto
País: PT
Como enviar a sua candidatura:
Após ler e compreender os critérios e requisitos mínimos explicados na informação da vaga DevOps & MLOps Engineer at the office Porto acima, prepare de imediato os documentos de candidatura, tais como carta de apresentação, CV, cópia do diploma e outros anexos. Envie através do link 'Próxima Página' abaixo.
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