20 beste Stellen als machine learning in mödling nö – aktuell auf Personalsuche

Staff Full Stack Engineer - Remote Work
BairesDev —Wien, W
- Homeoffice
Forward Deployed AI Scientist, Germany & Austria - BCG X
Boston Consulting Group —Wien, W
- Vollzeit
- Doktorat
- Master
12 Std.
University assistant predoctoral
Universität Wien —Wien, W
- Vollzeit
- Doktorat
- Master
- Bachelor
11 Std.
Director of Information Technology
The OPEC Fund for International Development —Wien, W
- Master
6 Tage
Senior Platform Engineer (Go) - Remote Work
BairesDev —Wien, W
- Homeoffice
- Master
Research Assistant »Produktionsplanung & Data Science« | Fachbereich: Produktionsplanung und Auftragsmanagment (w/m/d) Wien oder Innsbruck
Fraunhofer Austria Research —Wien 4. Bezirk (Wieden), W
- Vollzeit
Data Scientist / Actuary (f/m/d) in Pricing
Allianz —Wien, W
- Vollzeit
- Master
AI Automation Engineer
nyra health —Wien, W
- Vollzeit
- Master
- Bachelor
Junior Marketing Manager (Biotech / Visual Content / AI)
Novasign —Wien, W
- Vollzeit
- Bachelor
Direkt bewerben
6 Tage
Backend Engineer (Rust) - Remote Work
BairesDev —Wien, W
- Homeoffice
- Master
University Assistant postdoctoral
Universität Wien —Wien, W
- Vollzeit
- Doktorat
11 Std.
AI & Data Analyst (m/w/d)
ABAX Informationstechnik GmbH —Wien, W
- Vollzeit
Mathematiker:in (all genders) - Actuarial & Insurance Services
Deloitte Services Wirtschaftsprüfungs GmbH —Wien, W
- Vollzeit
Data Scientist [m/f/d]
Sportradar —Wien, W
- Vollzeit
- Bachelor
Direkt bewerben
4 Tage
Senior Data Scientist (m/f/d)
Finmatics GmbH —Wien, W
- Homeoffice
- Doktorat
- Master
Direkt bewerben
AI Specialist and Transformation Manager
Institute of Science and Technology Austria (ISTA) —Wien, W
- Vollzeit
- Bachelor
9 Tage
Lead Software Developer (m/f/d)
Atos —Wien, W
- Master
Senior Platform Engineer (Rust) - Remote Work
BairesDev —Wien, W
- Homeoffice
- Master
Senior Data Scientist
Zühlke —Wien, W
- Vollzeit
- Homeoffice
- Doktorat
- Master
Scientific project assistant predoctoral
Universität Wien —Wien, W
- Vollzeit
- Homeoffice
- Doktorat
- Master

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Staff Full Stack Engineer - Remote Work

BairesDev -
Wien, W

Jetzt bewerben

Details zur Stelle

Vollständige Stellenbeschreibung

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

We’re looking for a Staff Full Stack Engineer who is equally at home in Node.js backend services and React frontends, and who has worked on the kind of internal platform products that quietly make or break how engineering teams operate. You care deeply about TypeScript quality, you understand how microservices behave in Kubernetes environments, and you’re ready to take on cross-team technical responsibility. You’ll be shaping the platform that enables AI and machine learning capabilities across a global enterprise engineering organization.

What You’ll Do:

Build and maintain full-stack platform services using Node.js and React, deployed on Kubernetes-native infrastructure.
Own architectural decisions for platform components and ensure they scale reliably across engineering teams.
Apply deep TypeScript expertise across the stack, including build tooling, framework configuration, and type systems.
Work closely with ML and data teams to understand platform requirements and translate them into product features.
Set technical direction for full-stack development practices and lead cross-team engineering initiatives.
Conduct code reviews and mentor engineers, raising the technical bar across the team.

What We Are Looking For:

7+ years of experience in IT roles.
5+ years of experience as a full-stack engineer with Node.js and React as the primary stack.
Deep TypeScript proficiency, including familiarity with webpack, Babel, or NestJS.
Experience building and operating Kubernetes-native microservices in production.
Some exposure to AI/ML platform products or workflows.
Proven track record of cross-team technical leadership at a Staff or equivalent level.
Advanced proficiency in English.

How we do make your work (and your life) easier:

Remote Work.
Excellent compensation in USD or your local currency if preferred
Hardware and software setup for you to work from home.
Flexible hours: create your own schedule.
Paid parental leaves, vacations, and national holidays.
Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!

Jetzt bewerben

Erweiterte Suche

machine learning Jobs in mödling nö

Staff Full Stack Engineer - Remote Work

Forward Deployed AI Scientist, Germany & Austria - BCG X

University assistant predoctoral

Director of Information Technology

Senior Platform Engineer (Go) - Remote Work

Research Assistant »Produktionsplanung & Data Science« | Fachbereich: Produktionsplanung und Auftragsmanagment (w/m/d) Wien oder Innsbruck

Data Scientist / Actuary (f/m/d) in Pricing

AI Automation Engineer

Junior Marketing Manager (Biotech / Visual Content / AI)

Backend Engineer (Rust) - Remote Work

University Assistant postdoctoral

AI & Data Analyst (m/w/d)

Mathematiker:in (all genders) - Actuarial & Insurance Services

Data Scientist [m/f/d]

Senior Data Scientist (m/f/d)

AI Specialist and Transformation Manager

Lead Software Developer (m/f/d)

Senior Platform Engineer (Rust) - Remote Work

Senior Data Scientist

Scientific project assistant predoctoral

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning in mödling nö erhalten

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