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Staff/Lead Python Engineer/MLOps(m/w/x)
Developing data orchestration pipelines for AI-powered task mining, integrating GenAI/LLM with Google Services. Project ownership from start to finish essential. Stock options, flexible schedules.
Anforderungen
- Strong proficiency with Python
- Experience owning projects from start to finish
- Strong skills in building maintainable tests
- Strong experience with observability and tracing
- Knowledge of best practices for performance optimisation
- Familiarity with Kubernetes, Docker, and cloud infrastructure
- Strong analytical and troubleshooting skills
- Drive to continually develop skills and improve processes
- Fluency in English and effective communication skills
- Experience as a founding/early member of an Engineering team
- Experience in a fast-growing Scale-up environment
- Experience with GCP
Aufgaben
- Own and support the development of the data orchestration and processing pipeline
- Build resilient and robust Python applications that integrate with other services
- Mentor others to enhance developer experience by writing intuitive and testable code
- Develop observability for ML applications and GenAI/LLM integrations using the Grafana Stack
- Create integrations and services that communicate with Google Services
- Collaborate with Data Scientists and ML Engineers to productionize models
- Respond to incidents related to ML applications, triaging and resolving CPU, memory, and GPU issues
- Document procedures and guides to facilitate knowledge sharing among engineers
- Participate in hiring and onboarding new team members
- Manage end-to-end project responsibilities as the team grows
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Kubernetes
- Docker
- GCP
Benefits
Flexibles Arbeiten
- Flexible schedules and location
- Distributed work
Attraktive Vergütung
- Generous compensation
- Stock options
Moderne Technikausstattung
- Company-issued laptop
Sonstige Zulagen
- Remote setup stipend
- Co-working budget
Mehr Urlaubstage
- Ample paid time off
Großzügige Elternzeit
- Enhanced parental leave
Betriebliche Altersvorsorge
- Health & retirement benefits
Weiterbildungsangebote
- Annual learning & development budget
Workation & Sabbatical
- Annual workaways
Team Events & Ausflüge
- Regular virtual & in-person socials
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Staff/Lead Python Engineer/MLOps(m/w/x)
Developing data orchestration pipelines for AI-powered task mining, integrating GenAI/LLM with Google Services. Project ownership from start to finish essential. Stock options, flexible schedules.
Anforderungen
- Strong proficiency with Python
- Experience owning projects from start to finish
- Strong skills in building maintainable tests
- Strong experience with observability and tracing
- Knowledge of best practices for performance optimisation
- Familiarity with Kubernetes, Docker, and cloud infrastructure
- Strong analytical and troubleshooting skills
- Drive to continually develop skills and improve processes
- Fluency in English and effective communication skills
- Experience as a founding/early member of an Engineering team
- Experience in a fast-growing Scale-up environment
- Experience with GCP
Aufgaben
- Own and support the development of the data orchestration and processing pipeline
- Build resilient and robust Python applications that integrate with other services
- Mentor others to enhance developer experience by writing intuitive and testable code
- Develop observability for ML applications and GenAI/LLM integrations using the Grafana Stack
- Create integrations and services that communicate with Google Services
- Collaborate with Data Scientists and ML Engineers to productionize models
- Respond to incidents related to ML applications, triaging and resolving CPU, memory, and GPU issues
- Document procedures and guides to facilitate knowledge sharing among engineers
- Participate in hiring and onboarding new team members
- Manage end-to-end project responsibilities as the team grows
Berufserfahrung
- ca. 4 - 6 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Kubernetes
- Docker
- GCP
Benefits
Flexibles Arbeiten
- Flexible schedules and location
- Distributed work
Attraktive Vergütung
- Generous compensation
- Stock options
Moderne Technikausstattung
- Company-issued laptop
Sonstige Zulagen
- Remote setup stipend
- Co-working budget
Mehr Urlaubstage
- Ample paid time off
Großzügige Elternzeit
- Enhanced parental leave
Betriebliche Altersvorsorge
- Health & retirement benefits
Weiterbildungsangebote
- Annual learning & development budget
Workation & Sabbatical
- Annual workaways
Team Events & Ausflüge
- Regular virtual & in-person socials
Über das Unternehmen
Mimica
Branche
IT
Beschreibung
The company empowers enterprises to improve efficiency through AI-powered task mining and process intelligence.
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