Responsibilities
- Architect and develop scalable AI platform services using Python and microservices-based design
- Manage end-to-end DevOps and MLOps processes, including continuous integration, deployment, model versioning, and rollback mechanisms
- Develop and support Kubernetes-based infrastructure tailored for AI and machine learning workloads
- Implement and maintain data pipelines, dataset version control, and automated labeling systems for training models
- Enable full lifecycle management of machine learning workflows from data input through monitoring in production
- Collaborate with machine learning scientists, product teams, and platform engineers to align technical solutions with business goals
- Promote best practices in software architecture, system reliability, security, and monitoring capabilities
- Lead technical decision-making, conduct design reviews, and provide mentorship to engineering team members
Requirements
- Minimum of 10 years of professional experience in backend or platform engineering roles
- High level of proficiency in Python or comparable backend programming languages
- Proven track record developing microservices and distributed systems
- Production-level experience managing Kubernetes environments
- Strong grasp of DevOps and MLOps methodologies and tools
- Experience handling data workflows for machine learning, including datasets, labeling, and pipeline development
- Cloud platform experience with Azure, or a demonstrated ability to rapidly adopt Azure technologies
- Ability to operate strategically at the system architecture level while also contributing hands-on code
Nice to Have
- Prior experience designing and building internal AI or ML platforms
- Knowledge of model serving frameworks and techniques for optimizing inference performance
- Exposure to automated labeling, weak supervision, or human-in-the-loop data systems
- Background working in enterprise or B2B SaaS environments
Work Arrangement
Hybrid
Love how you work
- Remote and hybrid work models are offered to support diverse working preferences
- Flexible scheduling is available across most teams to support individual work-life balance
- Employees receive two paid days annually for volunteering with causes they value
- Paid parental leave is provided in all company locations to support family needs
Love whom you work with
- Global workforce of over 600 employees across 15 countries and four continents
- Team members represent more than 30 nationalities, reflecting a diverse and inclusive environment
- Organization has earned over 140 technology patents through sustained innovation and technical excellence
- Core values of respect, transparency, and simplicity guide team interactions and decision-making
- Team Environment consistently ranks among the top drivers of employee engagement company-wide
Love what you work on
- Organization has over 35 years of experience in the technology industry
- Serves more than 10,000 customers globally, including numerous Fortune 500 companies such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK
- Pioneered modern document processing by introducing one of the first low-code/no-code Intelligent Document Processing (IDP) platforms
- Leverages Machine Learning, Natural Language Processing, and Computer Vision technologies to transform document handling across business processes
- Recognized as a market leader by leading analyst firms including Gartner, Everest Group PEAK Matrix, ISG Intelligent Automation Lens, and NelsonHall
Other
- Remote and hybrid work options are available
- Flexible working hours are supported across most teams
- Two paid volunteering days are offered annually
- Paid parental leave is available in all locations
- Weekly wellness sessions are provided to support physical and mental health
- Comprehensive medical, accidental, and life insurance coverage is included
- Generous paid time off policy is offered
