Mimica is hiring a
Senior Data/MLOps Engineer

Summary

The job is for a Backend Engineer at Mimica, a company focused on automation with AI. The role involves owning the backend of their workflow mapping product, improving algorithms, developing data and ML training pipelines, and working closely with Data Scientists and ML Engineers. This is a fully remote position within a UTC-7 to UTC+3 timezone.

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

• Writing algorithms to process complex data structures
• Developing data and ML training pipelines (dataset creation, model training, and evaluation)
• Working closely with Data Scientists and ML Engineers to design the architecture of new models, deploy them into production and optimize their performance
• Monitoring model deployments to anticipate and mitigate system performance issues (disk utilization, memory and CPU usage)
• Helping automate the execution of deployment pipelines to enable operational monitoring
• Documenting procedures and guides to facilitate knowledge sharing and helping other engineers to level up through pairing and mentoring

Preferred Qualifications

• Familiarity with cloud infrastructure and containerised tools like K8s, Docker and GCP
• Experience owning projects from start to finish, including speccing, architecture, development, testing, deployment, release and monitoring
• Experience working within a high-impact, high-ambiguity startup environment – delivering value quickly and iteratively

Benefits

• Generous compensation
• Health benefits
• Ample paid time off
• Flexible schedules and location
• The opportunity to contribute to projects that will change the future of work