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1–2 jobs· newest first

AI & Data Science EngineerNew
EnOcean GmbH · Munich, Germany+1 more
Hybrid · Full-time · Mid
AI & Data Science EngineerNew
EnOcean GmbH · Munich, Germany+1 more
Hybrid · Contract · Mid

+10K new in the last hour

AI & Data Science Engineer

EnOcean GmbH · Posted Nov 10, 2026

Munich, Bavaria, Germany +1 more
Hybrid
Full-time · Mid
4+ years

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Lead AI and data science initiatives on EnOcean’s cloud platform, designing algorithms, analytics, and real‑time stream processing to turn sensor data into actionable insights.

Locations (2)

Munich, Bavaria, Germany
Utrecht, Utrecht, Netherlands

Responsibilities

Design and implement AI/ML models for position estimation and context generation
Build and maintain real‑time stream processing pipelines for millions of events per day
Develop LLM‑based assistants and agents with tool use, planning, memory and semantic search
Collaborate with backend, firmware, frontend and support teams
Write clear specifications and review AI‑generated code

Requirements

Bachelor's or equivalent in Computer Science, Data Science, Physics, Mathematics, Electrical Engineering or related field
Nice to have: positioning
Nice to have: geospatial data
Nice to have: radio propagation
Nice to have: sensor fusion

Skills

Python scientific Python stack SQL MongoDB Kafka Node.js gRPC LLM Kubernetes MLOps TypeScript LLM agents AWS CI/CD AI coding assistants

Benefits

Stability
Autonomy & Influence
Professional Development
Onboarding
Flexible Working Hours & Remote Working

See full job description

AI & Data Science Engineer

EnOcean GmbH · Posted Nov 10, 2026

Munich, Germany, Germany +1 more
Hybrid
Contract · Mid
4+ years

Apply with RefersoAI Apply on careers page

AI & Data Science Engineer responsible for building and maintaining AI-enabled analytics, real-time stream processing, and LLM-based assistants on EnOcean’s cloud platform.

Locations (2)

Munich, Germany, Germany
Utrecht, Netherlands, Netherlands

Responsibilities

Design and build real-time stream processing pipelines for production at scale
Develop algorithms to estimate position and movement from noisy sensor data
Build LLM-based assistants and agents with tool use, planning, memory and semantic search
Collaborate with backend, firmware, frontend and support colleagues
Apply secure-by-design principles and dependency hygiene

Requirements

Bachelor's or equivalent in Computer Science, Data Science, Physics, Mathematics, Electrical Engineering or related field
Nice to have: Positioning
Nice to have: Geospatial data
Nice to have: BLE
Nice to have: Telemetry platforms

Skills

Python scientific Python stack SQL Kafka Node.js LLM Kubernetes MLOps TypeScript MongoDB gRPC LLM agents AWS CI

Benefits

Stability
Autonomy & Influence
Professional Development
Onboarding
Flexible Working Hours

See full job description