Remote Senior Data and MLOps Engineer, AI-Powered Platform

Summary

Join Mimica's mission to accelerate automation with AI by owning the backend of our workflow mapping product. As a founding member of our engineering team, you'll shape technical direction, processes, and culture.

Requirements

• Background in solving complex technical challenges at the intersection of Computer Science, Software Development, and Data/ML Engineering
• Proficiency with Python and a desire to work with various technologies such as MongoDB to build scalable AI/ML production systems
• Experience in designing, building, and maintaining data collection tools, caching/storage systems, and pipelines
• Knowledge of best practices for performance optimization, memory management, model scalability, as well as data storage and quality tuning
• Strong analytical and troubleshooting skills – methodically decomposing systems to identify bottlenecks, determine root causes, and implement effective solutions
• Drive to continually develop your skills, improve team processes and reduce technical debt
• Fluency in English and ability to effectively communicate abstract ideas, complex concepts and trade-offs

Responsibilities

• Write algorithms to process complex data structures
• Develop data and ML training pipelines (dataset creation, model training, and evaluation)
• Work closely with Data Scientists and ML Engineers to design the architecture of new models, deploy them into production and optimize their performance
• Monitor model deployments to anticipate and mitigate system performance issues (disk utilization, memory and CPU usage)
• Help automate the execution of deployment pipelines to enable operational monitoring
• Document procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring
• Participate in hiring and onboarding new team members; take on end-to-end project management responsibilities as we grow

Benefits

• Generous compensation
• Health benefits
• Ample paid time off
• Flexible schedules and location
• Start-to-finish project ownership
• Opportunity to contribute to projects that will change the future of work