Staff/Lead Python Engineer (ML Platform/Ops)
⚲ Amsterdam, Stockholm, Warsaw, London, Berlin, Toronto
Do uzgodnienia
Wymagania
- Python
- ML
- GenAI
- LLM
- Grafana
Opis stanowiska
What we are building
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.
Our AI-powered task mining 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 the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.
Visit our Career Page to learn more.
Where we are in our scale-up journey
We’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models - we train them from the ground up.
Our approach to engineering
- We prioritise customer needs first
- We work in small, project-based teams
- We have flexibility in terms of the problems we work on
- We own the full lifecycle of our projects
- We avoid silos and encourage taking up tasks in new areas
- We balance quality and velocity
- We have a shared responsibility for our production code
- We each set our own routine to maximise our productivity
What will you own
In this role, you will own and support the development of backend systems that interface with ML models. You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.
We are currently looking for Engineers to join one of our teams:
* Data Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You will support our data orchestration and processing pipeline, as we build with scalability in mind.
* Miner Team, whose goal is to enable rapid and accurate labelling and segmentation of data in the Miner product through automation and ML methods. You will support the automation and scalability of the existing ML systems that back up our Miner product.
* Maker Team, a team responsible for building out the automation engine, as one of its founding members. We're building a new product from scratch, and that means being a part of the design of its architecture, experimentation and development.
In all cases, we're looking for a Lead/Staff-level engineer to join the Python Chapter, who will have the opportunity to shape our technical direction, architecture, processes, and culture, and to level up the team and Chapter in development practices.
What you will be doing
- *Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture. *
- Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test
- **Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)
- Develop integrations and services that communicate with Google Services.
- Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models
- Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation
- Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring
- Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.
Location
This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.
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.
Our AI-powered task mining 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 the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.
Visit our Career Page to learn more.
Where we are in our scale-up journey
We’ve achieved strong product-market fit and are now scaling with intention. You’ll join a 45-person team of Senior+ engineers and Product leaders who prioritise product impact over mere headcount. We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience. We started building proprietary ML before the LLM boom, so we don't just consume models - we train them from the ground up.
Our approach to engineering
- We prioritise customer needs first
- We work in small, project-based teams
- We have flexibility in terms of the problems we work on
- We own the full lifecycle of our projects
- We avoid silos and encourage taking up tasks in new areas
- We balance quality and velocity
- We have a shared responsibility for our production code
- We each set our own routine to maximise our productivity
What will you own
In this role, you will own and support the development of backend systems that interface with ML models. You will build apps and core components of our ML systems, deliver new AI features and drive improvements to our infrastructure and services.
We are currently looking for Engineers to join one of our teams:
* Data Intelligence Team, whose goal is to provide ML-enriched data for downstream tasks and ensure user data privacy. You will support our data orchestration and processing pipeline, as we build with scalability in mind.
* Miner Team, whose goal is to enable rapid and accurate labelling and segmentation of data in the Miner product through automation and ML methods. You will support the automation and scalability of the existing ML systems that back up our Miner product.
* Maker Team, a team responsible for building out the automation engine, as one of its founding members. We're building a new product from scratch, and that means being a part of the design of its architecture, experimentation and development.
In all cases, we're looking for a Lead/Staff-level engineer to join the Python Chapter, who will have the opportunity to shape our technical direction, architecture, processes, and culture, and to level up the team and Chapter in development practices.
What you will be doing
- *Write Python applications that are resilient, robust, and integrate well with other apps in a service architecture. *
- Furthering Developer Experience (DevEx) by mentoring others in writing code that is intuitive, clear, and easy to test
- **Developing observability for new and existing ML applications and GenAI/LLM integrations, making use of the Grafana Stack (Prometheus, Loki, Tempo)
- Develop integrations and services that communicate with Google Services.
- Working closely with Data Scientists and ML Engineers throughout the lifecycle of productionising their models
- Being responsive to incidents regarding ML applications - including an understanding of how to triage and resolve issues relating to CPU, memory, and GPU utilisation
- Documenting procedures and guides to facilitate knowledge sharing and help other engineers level up through pairing and mentoring
- Participating in hiring and onboarding new team members; taking on end-to-end project management responsibilities as we grow.
Location
This is a fully remote position. You can be based anywhere in the UK, Europe, or the Americas within a UTC-7 to UTC+3 timezone.
🔍 Dekoder Ogłoszenia
🔴
We have flexibility in terms of the problems we work on
Może oznaczać, że zakres obowiązków jest szeroki i niejasno zdefiniowany, co wymaga dużej samodzielności i adaptacji.
🔴
We avoid silos and encourage taking up tasks in new areas
Może sugerować, że będziesz musiał pracować nad różnorodnymi zadaniami, które niekoniecznie są związane z Twoją główną specjalizacją.
🔴
We balance quality and velocity
Może oznaczać, że presja na szybkie dostarczanie wyników może czasami przeważać nad dbałością o najwyższą jakość.
🟡
We own the full lifecycle of our projects
Oznacza to, że będziesz odpowiedzialny za wszystkie etapy projektu, od koncepcji po wdrożenie i utrzymanie, co może być bardzo wymagające.
🟢
We have 8 cross-functional teams, including a dedicated Platform team focused on infra & developer experience
Wskazuje na zorganizowaną strukturę zespołową, gdzie istnieje dedykowany zespół zajmujący się infrastrukturą i doświadczeniem deweloperów, co jest pozytywnym sygnałem dla stabilności i wsparcia technicznego.