Job
- Level
- Senior
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 53.802 € Gross/Year
- Location
- Graz, Innsbruck, Vienna, Hamburg, Kiel
- Working Model
- Onsite
Job Summary
In this role, you design scalable AI/ML platforms, automate MLOps workflows, and optimize GPU environments. You also develop APIs, perform LLM pre-training, and ensure security and compliance across models.
Job Technologies
Your role in the team
- Design and operate scalable AI/ML platforms, including training, inference, pipelines, and feature stores.
- Automate MLOps workflows (deployment, orchestration, CI/CD, monitoring, observability).
- Optimize GPU/accelerated environments for high-performance model workloads.
- Build reusable services, APIs, and tooling to boost engineering and data science productivity.
- Ensure security, compliance, governance, and Responsible AI across the full model lifecycle.
- Evaluate and adopt emerging AI technologies to continuously improve the platform.
- Collaborate with cross-functional teams to deliver reliable, scalable AI products.
- Improve cost efficiency and performance of training, experimentation, and inference.
- Perform LLM pre-training, fine-tuning, and evaluation to ensure quality and reliability.
- Design strong prompts, guardrails, and safety filters for secure LLM operation.
- Develop and maintain RAG capabilities for enterprise knowledge access.
- Build AI agents augmented with tools and internal system integrations.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Hands-on expertise with AI/ML tooling and orchestration (e.g., Databricks, Azure ML, MLflow, VertexAI, Kubeflow, Airflow).
- Strong software engineering background in Python (and ideally Java/Go).
- Deep knowledge of cloud native architectures (Azure / AWS / GCP), including containerisation (Docker, Kubernetes) and Infrastructure-as-Code.
- Vertrautheit mit der Überwachung und Verwaltung von Produktionsmodellen (Drift-Erkennung, Lineage, Model Registry, A/B-Tests).
- Solid understanding of data architecture + integration with data platforms.
- Strong communication skills, able to partner with cross-functional teams and translate platform needs into technical solutions.
- Fluency in English (additional regional languages a plus).
Experience
- 5+ years of experience in Machine Learning Engineering, AI Platform Engineering, or MLOps.
- Experience building reliable services/APIs.
- Experience with GPU/accelerated infrastructure, model optimization, and high-performance workloads.
This text has been machine translated. Show original
Benefits
Health, Fitness & Fun
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
Cloudflight GmbH
Wien, Linz, Hagenberg Im Mühlkreis
Our team of creative experts works hand-in-hand with our clients to develop tailor-made solutions, products, and platforms. We have over 400 digital strategists, experienced software architects, leading data scientists, and cloud engineers worldwide who collaborate closely to achieve the best results.
Description
- Company Size
- 250+ Employees
- Founding year
- 2005
- Company Type
- Startup
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.8
Culture
3.7Workingconditions
4.2Engineering
3.7Career Growth
3.8
AI Engineer Agentic Platform
- Salary
- from 53.802 € Gross/Year
- Location
- Graz, Innsbruck, Vienna, Hamburg, Kiel
- Working Model
- Onsite
- Diversity
- Open for all genders
