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ML Ops Engineer | Engineer in Other Art & Media Job Job at Aarorn Technologies | 7153801715

This listing was posted on ListedBuy.

ML Ops Engineer

Location:
Toronto
Description:

Aarorn Technologies is currently seeking a highly motivated ML Ops Engineer. Local Candidates to GTA, ON. We place consultants all over Canada. Job Title: ML Ops Engineer Location: Toronto, ON (Day 1 Hybrid Onsite) Full time Opportunity Summary : We are seeking a highly skilled and experienced ML Ops Engineer to join our team in USA. You will play a crucial role in building and maintaining the infrastructure and pipelines for our cutting-edge Generative AI applications, working closely with the Generative AI Full Stack Architect. Your expertise in automating and streamlining the ML lifecycle will be instrumental in ensuring the efficiency, scalability, and reliability of our Generative AI models in production. Responsibilities: Design, develop, and implement ML Ops pipelines for generative AI models, encompassing data ingestion, pre-processing, training, deployment, and monitoring. Automate ML tasks across the model lifecycle, leveraging tools like Git Ops, CI/CD pipelines, and containerization technologies (e. g. Docker, Kubernetes). Develop and maintain robust monitoring and alerting systems for generative AI models in production, ensuring proactive identification and resolution of issues. Collaborate with the Generative AI Full Stack Architect and other engineers to optimize model performance and resource utilization. Manage and maintain cloud infrastructure (e. g. AWS, GCP, Azure) for ML workloads, ensuring cost-efficiency and scalability. Stay up to date on the latest advancements in ML Ops and incorporate them into our platform and processes. Communicate effectively with technical and non-technical stakeholders about the health and performance of generative AI models. Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent experience. 8+ years of experience in ML Ops or related areas, such as Dev Ops, data engineering, or ML infrastructure. Proven experience in automating. Visit ListedBuy for more information.
Company:
Aarorn Technologies
Posted:
January 27 on ListedBuy
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