AI Summary
Join ImpacTech as an MLOps Engineer to drive DevOps initiatives, manage AI infrastructure, and develop automation tools. Collaborate with data engineering and DevOps teams to support production-grade AI systems. Drive analysis, design, and development of automation tools for deployment, development, and operational tasks.
Key Highlights
Maintain AI infrastructure clusters
Deploy and maintain Kubeflow infrastructure
Develop automation flows that enable fast delivery and replace manual operating procedures
Key Responsibilities
Maintain AI infrastructure clusters
Maintain models training infrastructure (GPU clusters)
Deploy and maintain Kubeflow infrastructure
Design and implement alerts system for models quality and AI services availability
Deploy and maintain hyper-parameters tuning infrastructure
Prioritizing requests from AI team fairly while demonstrating a sense of empathy
Maintain and enhance our CI/CD pipelines for AI
Collaborate with data engineering team to support production grade AI system
Develop automation flows that enable fast delivery and replace manual operating procedures wherever they exist to enable self-service operations
Drive analysis, design, and development of automation tools for deployment, development, and operational tasks
Deploy & manage monitoring/observability infrastructure for staging & production
Collaborate with DevOps team to enhance common infrastructure
Make sure new environments meet requirements and conform to best practices
Technical Skills Required
Benefits & Perks
Competitive remuneration package
Flexible work and leave schedules
Private medical insurance
Job Description
Ready to join ImpacTech?
MLOps Engineer
Impact Tech LTD is looking for an MLOps Engineer as a lead role for our DevOps environment for AI team with his experiences, best practices, and a collaborative attitude to help drive DevOps initiatives. The responsibilities include both managing and building processes for automation as well as contributing to the development of internal tools to achieve operational efficiency.
Impactivators are on a mission to change the way the world does business with AI-driven tools that deliver real results by creating a common set of scalable, data-centric solutions.
Are you an #Impactivator?
Key responsibilities
- Maintain AI infrastructure clusters
- Maintain models training infrastructure (GPU clusters)
- Deploy and maintain Kubeflow infrastructure
- Design and implement alerts system for models quality and AI services availability
- Deploy and maintain hyper-parameters tuning infrastructure
- Prioritizing requests from AI team fairly while demonstrating a sense of empathy
- Maintain and enhance our CI/CD pipelines for AI
- Collaborate with data engineering team to support production grade AI system
- Develop automation flows that enable fast delivery and replace manual operating procedures wherever they exist to enable self-service operations
- Drive analysis, design, and development of automation tools for deployment, development, and operational tasks
- Deploy & manage monitoring/observability infrastructure for staging & production
- Collaborate with DevOps team to enhance common infrastructure
- Make sure new environments meet requirements and conform to best practices
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- Challenging and engaging tasks
- Professional growth opportunities, technical seminars and internal hackathons
- An open and collaborative working environment
- Flexible work and leave schedules
- Competitive remuneration package, plus 13th salary
- Private medical insurance
- Free parking
- Team bonding events
- Relocation packages (where applicable)
- Variety of work arrangements (remote/WFH/office)
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