What are the responsibilities and job description for the Infrastructure and Ops (Devops and MLOps) Engineer - Remote position at Acunor Inc?
Primary Responsibilities :
Automation & DevOps : Improve existing Infrastructure as Code (IaC) according to best DevOps practices.
Systems Monitoring : Develop and maintain monitoring frameworks for UAIS infrastructure in relation to AI / ML training program
Security & Compliance : Collaborate with cybersecurity teams to ensure all systems and operations comply with industry standards and are secure against evolving threats.
Capacity Planning & Cost Optimization : Forecast and manage capacity requirements for the AI / ML training environment, while identifying opportunities to reduce costs without compromising performance.
Continuous support : Provide continuous SRE support to thousands of geographically distributed users on the UAIS platform : respond to tickets, triage support, liaise with customers.
Required Qualifications :
Bachelor's degree in computer science, information technology, or a related field.
3 years of infrastructure experience : Proven experience working on large-scale, cloud-based, enterprise-level software platforms and deep understanding of multi-cloud architectures, specifically Azure, AWS, and GCP, with hands-on experience in cloud management.
2 years of practical experience in Infrastructure-as-Code and CI / CD tools like Terraform, Git Actions and alike.
2 years of practical experience in containerization technologies (Kubernetes, Docker) and orchestration
2 years of practical experience in Scripting & Automation Skills : Advanced proficiency in scripting languages such as Python and Bash to support automation and system integration efforts.
Preferred Qualifications :
Security & Compliance Knowledge : Strong understanding of security best practices and experience ensuring compliance with relevant regulatory frameworks.
Machine Learning and LLM Operations : Exposure to modern tools and techniques in MLOps and LLMOps fields.
Exposure to AI / ML-specific infrastructure tools (e.g., MLflow, Kubeflow) for managing and deploying models at scale.
Exposure to a Regulated Industry : Experience working within a healthcare or regulated industry, with solid understanding of the unique challenges and compliance requirements.
Ability to work independently, manage multiple projects simultaneously, and adapt to changing priorities in a fast-paced environment.
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