Almedia
Data Engineer(m/w/x)
Full-timeOn-siteExperienced
Berlin
from 190,000 / year
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SEsensmore
ML Ops / Data Engineer - Robotics(m/w/x)
Berlin, Potsdam
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Building multi-sensor telemetry pipelines and ML Ops for autonomous heavy machinery at robotics platform. 3+ years building cloud data pipelines with Python/SQL proficiency required. Stock options, engagement with top-tier researchers.
Requirements
- 3+ years experience building cloud data pipelines
- Proficiency in Python, SQL, and big-data frameworks
- Familiarity with ML Ops tooling
- Experience designing data warehouses or data lakes
- Understanding of distributed systems and data serialization
- Excellent problem-solving skills and adaptability
- Background in robotics or sensor data
- Knowledge of real-time data processing
- Experience with infrastructure as code and CI/CD
- Familiarity with Kubernetes and containerized deployments
- Exposure to vision-language or action-planning models
Tasks
- Design and maintain data infrastructure
- Build and operate multi-sensor telemetry pipelines
- Architect scalable data lakes and warehouses
- Integrate ML Ops tools like DVC or MLflow
- Automate model training and retraining triggers
- Track data and model lineage
- Implement data validation and monitoring systems
- Collaborate on data schemas and APIs
- Optimize distributed processing and storage performance
- Document pipeline architectures and ML Ops practices
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Python
- SQL
- DVC
- MLflow
- Kubeflow
- Redshift
- Snowflake
- BigQuery
- Delta Lake
- Parquet
- Avro
- Terraform
- CloudFormation
- Kubernetes
Benefits
Competitive Pay
- Attractive compensation package
- Stock options
Snacks & Drinks
- On-site beverages
Team Events
- Regular social events
Other Benefits
- Engagement with top-tier researchers
- Influence future robotic technologies
Additional Allowances
- Relocation assistance to Berlin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of sensmore 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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SEsensmore
ML Ops / Data Engineer - Robotics(m/w/x)
Berlin, Potsdam
Full-timeOn-site
AI/ML
Data Science
Nejo AI Summary
Building multi-sensor telemetry pipelines and ML Ops for autonomous heavy machinery at robotics platform. 3+ years building cloud data pipelines with Python/SQL proficiency required. Stock options, engagement with top-tier researchers.
Requirements
- 3+ years experience building cloud data pipelines
- Proficiency in Python, SQL, and big-data frameworks
- Familiarity with ML Ops tooling
- Experience designing data warehouses or data lakes
- Understanding of distributed systems and data serialization
- Excellent problem-solving skills and adaptability
- Background in robotics or sensor data
- Knowledge of real-time data processing
- Experience with infrastructure as code and CI/CD
- Familiarity with Kubernetes and containerized deployments
- Exposure to vision-language or action-planning models
Tasks
- Design and maintain data infrastructure
- Build and operate multi-sensor telemetry pipelines
- Architect scalable data lakes and warehouses
- Integrate ML Ops tools like DVC or MLflow
- Automate model training and retraining triggers
- Track data and model lineage
- Implement data validation and monitoring systems
- Collaborate on data schemas and APIs
- Optimize distributed processing and storage performance
- Document pipeline architectures and ML Ops practices
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- GCP
- Azure
- Python
- SQL
- DVC
- MLflow
- Kubeflow
- Redshift
- Snowflake
- BigQuery
- Delta Lake
- Parquet
- Avro
- Terraform
- CloudFormation
- Kubernetes
Benefits
Competitive Pay
- Attractive compensation package
- Stock options
Snacks & Drinks
- On-site beverages
Team Events
- Regular social events
Other Benefits
- Engagement with top-tier researchers
- Influence future robotic technologies
Additional Allowances
- Relocation assistance to Berlin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of sensmore 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.
About the Company
sensmore
Industry
Manufacturing
Description
The company automates the world's largest machines with unprecedented intelligence, integrating robotics into a platform for productivity and safety.
Not a perfect match?
- Almedia
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