Responsibilities
- Develop and maintain production-grade AI/ML infrastructure on AWS, ensuring deployment, monitoring, reliability, and operational readiness.
- Collaborate with machine learning, data science, and applied AI teams to understand workflows and convert experimental requirements into scalable system designs.
- Build reusable infrastructure frameworks, service blueprints, CI/CD pipelines, and deployment processes tailored for AI/ML workloads.
- Design and implement systems for model serving, batch inference, retrieval pipelines, evaluation workflows, and deployment of AI services.
- Establish production-level standards for monitoring, alerting, rollback procedures, logging, version control, and system reliability for AI/ML platforms.
- Work closely with platform and backend engineering teams to align AI/ML infrastructure with enterprise-wide architecture and security policies.
Benefits
- Competitive pay packages
- Company ownership program available to all full-time employees
- Flexible work environment
- Generous paid time off, including local holidays and an annual 'Dim the Lights' break
- Comprehensive wellness and mental health resources
- Access to learning and development tools, including professional growth platforms and tuition assistance
- Provision of necessary technology and equipment for high-performance work
- Employee recognition through the Motivosity program
- A workplace culture centered on inclusion, support, and meaningful collaboration
Compensation
Competitive compensation
Work Arrangement
Hybrid
Get in on all the awesome at Instructure!
- We provide competitive and meaningful benefits in every country where we operate. Specific offerings may vary by location.
- Compensation is competitive, and all full-time employees are included in the company ownership program, reflecting our belief that everyone should share in our success.
- Work culture is flexible, with remote, hybrid, and in-office arrangements depending on role, team, and location.
- Employees receive generous time off, including local holidays and an annual 'Dim the Lights' period in late December, allowing teams to recharge based on operational needs.
- Wellness is supported through comprehensive programs and mental health resources.
- Professional growth is encouraged through learning and development tools, including professional development platforms and tuition reimbursement.
- Employees are equipped with the technology and tools needed to perform at their best.
- Recognition is fostered through the Motivosity employee appreciation program.
- Our culture emphasizes inclusivity, mutual support, and authentic connection.
Equal Opportunity Employer
We are committed to hiring talented individuals and treating them fairly. Greater diversity leads to better ideas and outcomes. We are an Equal Opportunity Employer and comply with all applicable employment and anti-discrimination laws globally. All candidates must pass a background check. Identity verification measures are in place to protect our teams and systems. Candidates may be asked to confirm their legal name, current physical location, and provide a valid contact number and residential address in compliance with local data privacy regulations. Providing false information will lead to disqualification.
Other
- All employees must successfully complete a background check during the hiring process.
- Candidates may be required to verify their legal name, current location, and provide a valid phone number and residential address, in accordance with local data privacy laws.
- Any attempt to falsify personal or professional details will result in disqualification.
