thermondo
Staff Engineer(m/w/x)
Full-timeWith HomeofficeManagement
Berlin
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MIMimica
Staff/Lead Python Engineer/MLOps(m/w/x)
Berlin
Full-timeRemoteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kubernetes
- Docker
- GCP
Benefits
Flexible Working
- Flexible schedules and location
- Distributed work
Competitive Pay
- Generous compensation
- Stock options
Modern Equipment
- Company-issued laptop
Additional Allowances
- Remote setup stipend
- Co-working budget
More Vacation Days
- Ample paid time off
Generous Parental Leave
- Enhanced parental leave
Retirement Plans
- Health & retirement benefits
Learning & Development
- Annual learning & development budget
Workation & Sabbatical
- Annual workaways
Team Events
- Regular virtual & in-person socials
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Mimica and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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MIMimica
Staff/Lead Python Engineer/MLOps(m/w/x)
Berlin
Full-timeRemoteSenior
AI/ML
Data Science
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Kubernetes
- Docker
- GCP
Benefits
Flexible Working
- Flexible schedules and location
- Distributed work
Competitive Pay
- Generous compensation
- Stock options
Modern Equipment
- Company-issued laptop
Additional Allowances
- Remote setup stipend
- Co-working budget
More Vacation Days
- Ample paid time off
Generous Parental Leave
- Enhanced parental leave
Retirement Plans
- Health & retirement benefits
Learning & Development
- Annual learning & development budget
Workation & Sabbatical
- Annual workaways
Team Events
- Regular virtual & in-person socials
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Mimica and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Mimica
Industry
IT
Description
The company empowers enterprises to improve efficiency through AI-powered task mining and process intelligence.
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