20 beste Stellen als data science in heidelberg – aktuell auf Personalsuche

ML Product Engineer
kausable GmbH —Heidelberg
- 55.000 € – 120.000 € pro Jahr
- Hybrides Arbeiten
Direkt bewerben
Enterprise Data Architect
EY —Mannheim
- Informatik
- Master
- Mit Reiseanteil
AIML - Sr. Software Development Engineer, Evaluation
Apple —Heidelberg
- Informatik
- Master
8 Tage
AI Engineer (w|m|d)
BridgingIT GmbH —Mannheim
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
AIML - Backend Engineer, Data Generation & Verification
Apple —Heidelberg
- Doktorat
- Informatik
15 Std.
Data Manager / Business Analyst (m/f/d)
Springer Nature —Heidelberg
- Vollzeit
- Hybrides Arbeiten
1 Tag
Business AI & Data Architect (m/w/d)
Bilfinger SE —Mannheim
- Azure
- Informatik
- AWS
- Homeoffice-Möglichkeit
- Flexible Arbeitszeiten
Big Data Analytics & Data Lake Architect (w|m|d)
BridgingIT GmbH —Mannheim
- Vollzeit
- Azure
- AWS
- Softwareentwicklung
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Praktikant* Data Science
sovanta AG —Heidelberg
- Englisch
- Java
- Datenbanken
- Flexible Arbeitszeiten
Machine (Meta) Learner
kausable GmbH —Heidelberg
- 70.000 € – 120.000 € pro Jahr
- Hybrides Arbeiten
- Doktorat
- Master
Direkt bewerben
WERKSTUDENT KI (M/W/D)
TSG 1899 Hoffenheim Fußball-Spielbetriebs GmbH —Zuzenhausen
- Vollzeit
- Informatik
- Datenanalyse
- Master
Software Engineer for Digital Data Exchange (m/f/d)
ABB AG —Mannheim
- Vollzeit
- Master
- Bachelor
Direkt bewerben
14 Tage
Senior Global MES Engineer (all genders) - permanent, fulltime
AbbVie —Ludwigshafen am Rhein
- 51.000 € – 88.500 € pro Jahr
- Vollzeit
- Hybrides Arbeiten
- Bachelor
3 Tage
Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)
AbbVie —Ludwigshafen am Rhein
- Vollzeit
- Doktorat
GenAI Solutions Architect (w|m|d)
BridgingIT GmbH —Mannheim
- 60.000 € – 90.000 € pro Jahr
- Vollzeit
- Azure
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Global IT Project Manager m/f/d
CordenPharma —Plankstadt
- Vollzeit
- Wirtschaft
Werkstudent (m/w/d) für eine KI-Projektarbeit im Bereich Data Analytics & Web Scraping im Ticketing
Semmel Concerts Entertainment GmbH —Mannheim
- Teilzeit
- Informatik
- Datenanalyse
- Softwareentwicklung
- Flexible Arbeitszeiten
Senior Business Intelligence & Data Engineer (m/w/d)
inexogy smart metering GmbH & Co. KG —Mannheim
- Vollzeit
- Azure
- Informatik
- Datenanalyse
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
1 Tag
Senior AI Engineer (m/f/d)
Südzucker AG —Mannheim
- Vollzeit
- Informatik
- Master
3 Std.
Werkstudent* Process Automation
sovanta AG —Heidelberg
- Teilzeit
- Englisch
- Java
- Analysefähigkeit
- Flexible Arbeitszeiten

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ML Product Engineer

kausable GmbH
Heidelberg

Direkt bewerben

Details zur Stelle

55.000 € – 120.000 € pro Jahr

Vollständige Stellenbeschreibung

At kausable, we build causal, reasoning-first models that learn from a handful of examples and generalize across domains. Research gets us to a capable model. This role gets that model into the hands of users. As our ML Product Engineer, you own the path from a promising result in the lab to a dependable production capability: serving, evaluation, data flows, reliability, latency and cost. You will work at the boundary between research and product, where good technical judgment matters more than a clean handover.

Tasks

Turn research models into production-grade services with clear reliability, latency and cost targets.
Build evaluation harnesses and release criteria that show quantitatively when a model is ready to ship.
Design the data pipelines, versioning and observability needed across training, evaluation and live inference.
Build stable APIs and developer-facing abstractions around our models.
Work closely with researchers to expose failure modes and turn product feedback into better models and evaluations.
Translate customer and design-partner needs into reusable platform capabilities rather than one-off solutions.
Own model releases, monitoring and rollback patterns as the production footprint grows.

Requirements

A track record of shipping ML-powered systems to production and operating them after launch.
Strong software engineering skills in Python and hands-on fluency with PyTorch.
Experience with model serving, APIs, containers and cloud infrastructure.
Sound judgment around evaluation, observability, reliability and production trade-offs.
The ability to work directly with customers, researchers and product stakeholders.
A pragmatic, outcome-oriented mindset: you optimize for dependable capabilities that users can actually adopt.
We are primarily hiring at senior level. We are also open to exceptional candidates with fewer years of experience who can demonstrate comparable depth, judgment and ownership.

Nice to have:

In-context learning, PFNs, synthetic data or probabilistic models.
Weights & Biases, model registries, CI for models or comparable MLOps tooling.
SDK or developer-tooling design.
Security, privacy or on-premise deployment requirements.
Prior startup, design-partner or 0-to-1 product experience.

Benefits

Where This Can Go

You will define how kausable ships ML: the patterns, tooling and standards between research and production. As the team grows, the role can expand into technical ownership of the model-to-product stack or leadership of a small ML product group. The trade-off is part of the job: shipping quickly matters, but only when the resulting system remains measurable, reusable and dependable.

Our Culture

We are "Putting Science at the Core of AI". That means we:

are scientists at heart, with a builder's mindset,
are open to challenge, grounded in curiosity and respect,
welcome diverse perspectives and value thoughtful, open debate,
focus on outcomes and real-world impact,
foster an environment of support, inspiration, and freedom for everyone to do their best work.

Perks & Benefits

VSOP equity: a real stake in what we build.
30 days of paid holiday per year.
Statutory social insurance.
Conference travel and role-relevant learning.
Flexible hybrid work, with roughly one in-person team meet-up per month.
A high-end laptop and access to the cloud compute required for the role.

️ Tools and Infrastructure

Python and PyTorch.
Weights & Biases and model-evaluation tooling.
Docker, AWS, RunPod and comparable cloud infrastructure.

Sounds like it's for you? Send us your favorite way to drink coffee along with your CV or LinkedIn, and we'll get back to you soon.

If it's a match, we'll get to know each other over a number of online interviews, followed by an onsite day where we go in depth.

We are looking forward to hearing from you!

Direkt bewerben

Erweiterte Suche

data science Jobs in heidelberg

ML Product Engineer

Enterprise Data Architect

AIML - Sr. Software Development Engineer, Evaluation

AI Engineer (w|m|d)

AIML - Backend Engineer, Data Generation & Verification

Data Manager / Business Analyst (m/f/d)

Business AI & Data Architect (m/w/d)

Big Data Analytics & Data Lake Architect (w|m|d)

Praktikant* Data Science

Machine (Meta) Learner

WERKSTUDENT KI (M/W/D)

Software Engineer for Digital Data Exchange (m/f/d)

Senior Global MES Engineer (all genders) - permanent, fulltime

Senior Scientist II, Pharmaceutical Development – Thermodynamics & AI/ML Applications (all genders) (fulltime, regular)

GenAI Solutions Architect (w|m|d)

Global IT Project Manager m/f/d

Werkstudent (m/w/d) für eine KI-Projektarbeit im Bereich Data Analytics & Web Scraping im Ticketing

Senior Business Intelligence & Data Engineer (m/w/d)

Senior AI Engineer (m/f/d)

Werkstudent* Process Automation

Ich möchte aktuelle Job-E-Mails für Stellen als data science in heidelberg erhalten

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