20 beste Stellen als team lead machine learning in berlin – aktuell auf Personalsuche

ML Ops / Data Engineer - Robotics
Sensmore —Berlin
- Vollzeit
- Azure
- SQL
- AWS
Direkt bewerben
Robotics State Estimation Engineer
Sensmore —Berlin
- Vollzeit
- C++
- Softwareentwicklung
- Python
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Data Product Manager, Dynamic Assortment - (Quick Commerce)
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- Informatik
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Sr. Applied Scientist, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- AWS
Business Development Manager EMEA
Hybe.io —Berlin
- CRM-Software
- Vertrieb
- Englisch
Direkt bewerben
Senior Manager, Software Engineering - (Logistics, Time Estimations)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Machine Learning
- Analytik
Direkt bewerben
8 Tage
Head of Product - Transport & Customs (all genders)
Zalando —Berlin
- Vollzeit
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- Führungserfahrung
- Umzugskostenzuschuss
Lecturer for the Faculty of Computer Science and Informatics – BSBI Berlin (Freelancer)
GUS Germany GmbH —Berlin
- 55 € pro Stunde
- Teilzeit
- Microsoft Powerpoint
- Microsoft Excel
- Windows
Direkt bewerben
Go-to-Market Lead (Founding GTM Hire)
Zelara.ai —Berlin
- Vollzeit
- Künstliche Intelligenz
- Marketing
Direkt bewerben
Principal Product Manager, Affordability - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Machine Learning
- Produktmanagement
- APIs
Direkt bewerben
Group Product Manager
Blacklane GmbH —Berlin
- Produktmanagement
Senior/Staff Robotics Engineer (m/f/d)
Almetra —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- C++
- Flexible Arbeitszeiten
14 Tage
Research Scientist, Thermocatalysis
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
Direkt bewerben
Robotics Hardware Engineer
Sensmore —Berlin
- Vollzeit
- CAD
- Master
- Montage
Direkt bewerben
Group Product Manager
BLACKLANE —Berlin
- Produktmanagement
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Head of AI Research
Dunia Innovations GmbH —Berlin
- Vollzeit
- Doktorat
- Künstliche Intelligenz
- Führungserfahrung
Direkt bewerben
Senior Python Developer
Pupil Labs GmbH —Berlin
- Vollzeit
- Python
- Flexible Arbeitszeiten
Senior Manager, Sales Development, DACH
Airwallex —Berlin
- Vollzeit
- Vertrieb
- Salesforce
- Künstliche Intelligenz
Product Manager (AI)
autarc GmbH —Berlin
- Vollzeit
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
13 Tage
Senior Product Manager, Insights - Vendor
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- SQL
- Produktmanagement
- Analytik
Direkt bewerben
6 Tage

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ML Ops / Data Engineer - Robotics

Sensmore
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

CI/CD
Azure
Kubernetes
Google Cloud Platform
SQL
AWS
Verteilte Systeme
Terraform
APIs
S3
Redshift
Python

Vollständige Stellenbeschreibung

sensmore automates the world's largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training.

We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.

Join us and play a pivotal role in transforming the automation landscape in heavy industries.

Role Overview:

As our Data Engineer, you will design, build, and maintain the data infrastructure that powers Sensmore’s embodied AI and Vision-Language-Action Models (VLAMs). You’ll collaborate with Robotics, ML and Software engineers to ensure clean, reliable data flows from our sensor arrays (radar, LiDAR, cameras, IMUs) into training and inference pipelines. This role blends classic data engineering (ETL/ELT, warehouse design, monitoring) with ML Ops best practices: model versioning, data drift detection, and automated retraining.

Key Responsibilities:

Build & operate data pipelines: Ingest, process, and transform multi-sensor telemetry (radar point-clouds, video frames, log streams) into analytics-ready and ML-ready formats.
Design scalable storage: Architect high-throughput, low-latency data lakes and warehouses (e.g., S3, Delta Lake, Redshift/Snowflake).
Enable ML Ops workflows: Integrate DVC or MLflow, automate model training/retraining triggers, track data/model lineage.
Ensure data quality: Implement validation, monitoring, and alerting to catch anomalies and schema changes early.
Collaborate cross-functionally: Partner with Embedded Systems, Robotics, and Software teams to align on data schemas, APIs, and real-time requirements.
Optimize performance: Tune distributed processing, queries, and storage layouts for cost-efficiency and throughput.
Document & evangelize: Maintain clear documentation for data schemas, pipeline architectures, and ML Ops practices to uplift the whole team.

Required Qualifications:

3+ years of hands-on experience building production data pipelines in the cloud (AWS, GCP, or Azure).
Proficiency in Python, SQL, and at least one big-data framework.
Familiarity with ML Ops tooling: DVC, MLflow, Kubeflow, or similar.
Experience designing and operating data warehouses/data lakes (e.g., Redshift, Snowflake, BigQuery, Delta Lake).
Strong understanding of distributed systems, data serialization (Parquet, Avro), and batch vs. streaming paradigms.
Excellent problem-solving skills and the ability to work in ambiguous, fast-paced environments.

Preferred Skills:

Background in robotics or sensor data (radar, LiDAR, camera pipelines).
Knowledge of real-time data processing and edge-computing constraints.
Experience with infrastructure as code (Terraform, CloudFormation) and CI/CD for data workflows.
Familiarity with Kubernetes and containerized deployments.
Exposure to vision-language or action-planning ML models.

What We Offer:

Build physical AI for the world's largest off-highway machinery – making them intelligent, safe, and ready for every tough task
Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors
Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment
Tailor your own career path, whether you like to become technical specialist or technical team lead
Experience a great team culture, beverages, and an amazing office environment

Benefits:

Attractive compensation package and stock options.
Beverages on-site and regular social events.
Engage with top-tier researchers, engineers, and thought leaders.
Influence the future of robotic technologies and tackle significant technological challenges.
Assistance with relocation to Berlin.

About Us:

Heavy machinery, light years ahead.

We are proudly backed by Point Nine and other Tier 1 investors.

Direkt bewerben

Erweiterte Suche

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Ich möchte aktuelle Job-E-Mails für Stellen als team lead machine learning in berlin erhalten

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