Dein persönlicher KI-Karriere-Agent
ML Ops / Data Engineer - Robotics(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- GCP
- Azure
- Python
- SQL
- DVC
- MLflow
- Kubeflow
- Redshift
- Snowflake
- BigQuery
- Delta Lake
- Parquet
- Avro
- Terraform
- CloudFormation
- Kubernetes
Benefits
Attraktive Vergütung
- Attractive compensation package
- Stock options
Snacks & Getränke
- On-site beverages
Team Events & Ausflüge
- Regular social events
Sonstige Vorteile
- Engagement with top-tier researchers
- Influence future robotic technologies
Sonstige Zulagen
- Relocation assistance to Berlin
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ML Ops / Data Engineer - Robotics(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AWS
- GCP
- Azure
- Python
- SQL
- DVC
- MLflow
- Kubeflow
- Redshift
- Snowflake
- BigQuery
- Delta Lake
- Parquet
- Avro
- Terraform
- CloudFormation
- Kubernetes
Benefits
Attraktive Vergütung
- Attractive compensation package
- Stock options
Snacks & Getränke
- On-site beverages
Team Events & Ausflüge
- Regular social events
Sonstige Vorteile
- Engagement with top-tier researchers
- Influence future robotic technologies
Sonstige Zulagen
- Relocation assistance to Berlin
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
sensmore
Branche
Manufacturing
Beschreibung
The company automates the world's largest machines with unprecedented intelligence, integrating robotics into a platform for productivity and safety.
Noch nicht perfekt?
- Almedia
Data Engineer(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlinab 190.000 / Jahr - Ivy
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Vollzeitnur vor OrtKeine AngabeBerlin, Potsdam - SumUp
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Vollzeitnur vor OrtSeniorBerlin - Prior Labs
ML Engineer, Cloud Platform(m/w/x)
Vollzeitnur vor OrtBerufserfahrenBerlin, Freiburg im Breisgauab 140.000 / Jahr