Mimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.
The company offers an AI-powered task mining solution that observes employee actions across the desktop and categorizes them into detailed process maps.
Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends optimal technology for automation, and provides a blueprint for building new automations and transforming work.
The engineering approach prioritizes customer needs, works in small project-based teams, and encourages flexibility in problem-solving.
The Senior/Lead MLOps Engineer will own the backend of the new product, the Mimica Maker, which allows users to build and orchestrate bots from recorded data.
Responsibilities include building pipelines and core components of ML systems, delivering new AI features, and driving improvements to infrastructure and services.
Daily tasks involve writing algorithms, developing data and ML training pipelines, collaborating with Data Scientists and ML Engineers, monitoring model deployments, enhancing monitoring tools, documenting procedures, and participating in hiring and onboarding.
Requirements:
Candidates must have a background in solving complex technical challenges at the intersection of Software Development and Data/ML Engineering.
Proficiency in Python and experience with databases in high-scale environments is required.
Hands-on experience with message queues such as RabbitMQ, NATS, gRPC, REST, or others is necessary.
Familiarity with cloud infrastructure, operations, and containerized tools like Kubernetes and Docker is essential.
Experience in designing, building, and maintaining data collection tools, caching/storage systems, queues, and pipelines is required.
Knowledge of best practices for performance optimization, memory management, model scalability, and data storage and quality tuning is necessary.
Strong analytical and troubleshooting skills are essential for identifying bottlenecks and implementing effective solutions.
A drive to continually develop skills, improve team processes, and reduce technical debt is expected.
Fluency in English and the ability to communicate complex concepts effectively is required.
Benefits:
The position offers generous compensation and stock options aligned with the internal framework, market data, and individual skills.
Employees can work from anywhere, with options for fully remote work, in hubs, or a mix.
A laptop, remote setup stipend, and co-working budget are provided.
Flexible schedules and locations are available.
Ample paid time off is offered, in addition to local public holidays.
Enhanced parental leave is included.
Health and retirement benefits are provided.
An annual learning and development budget is available.
Opportunities for annual workaways and regular virtual and in-person socials are offered.
Employees have the chance to contribute to groundbreaking projects that shape the future of work.
Note: Some benefits may vary depending on location.
