Job
- Level
- Senior
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 53.802 € Gross/Year
- Location
- Graz, Vienna, Pörtschach am Wörther See
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop end-to-end Generative AI solutions and AI agents, work on RAG pipelines for problem-solving, and communicate directly with clients to implement tailored AI strategies.
Job Technologies
Your role in the team
As a Machine Learning Engineer, you will play a crucial role in driving innovation and implementing cutting-edge Generative AI solutions and intelligent agentic systems.
Join our dynamic team and contribute to the development of intelligent systems that solve complex problems and enhance our business capabilities.
Your job's key responsibilities are:
- Designing and implementing end-to-end Generative AI solutions, AI agents, and RAG (Retrieval-Augmented Generation) pipelines to address business challenges and opportunities.
- Collaborating with cross-functional teams to understand requirements, providing technical expertise, and delivering scalable and robust AI solutions.
- Conducting research and evaluation of emerging AI models, agentic frameworks, and development kits.
- Working independently on Proof of Concepts (PoC) to validate and showcase the feasibility of proposed solutions.
- Conducting direct client communication to understand their needs and tailor AI-driven solutions accordingly.
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Our expectations of you
Qualifications
- Proficiency in building Generative AI and Agentic applications at scale, with expertise in using agentic frameworks, vector databases, grounding, and other relevant concepts.
- Extensive knowledge of Cloud AI offerings on one of the Hyperscalers (GCP, AWS, or Azure), including ready-to-use AI services, AutoML approaches, and custom model development.
- Strong and assertive communication skills.
- Passion for keeping up with industry trends and advancements in Generative AI and agentic systems.
- Knowledge of Docker and Kubernetes.
- Familiarity with CI/CD processes for MLOps/AIOps.
- A/B testing expertise for AI models and applications.
Experience
- 3+ years of experience in Applied AI or Machine Learning in the industry.
- Direct experience or strong familiarity with agent development, such as Google Agent Development Kit (ADK) or similar frameworks (e.g., LangGraph, Agno).
- Proven experience in research and evaluation of emerging AI technologies, models, and frameworks.
- Hands-on experience with the Google Cloud AI/ML stack (e.g., Vertex AI, Gemini Models, Vector Search).
- Experience with AI evaluation frameworks (e.g., RAGAs, LangSmith), writing integration tests, and establishing robust validation strategies for Generative AI and agentic applications.
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Benefits
More net
- 🚙Poolcar
- 💻Company Notebook for Private Use
- 🛍Employee Discount
- 🎁Employee Gifts
- 📱Company Phone for Private Use
- 🚎Public Transport Allowance
Health, Fitness & Fun
- 👨🏻🎓Mentor Program
- ⚽️Tabletop Soccer, etc.
- 🧠Mental Health Care
- 👩⚕️Company Doctor
- 🎳Team Events
- 🚲Bicycle Parking Space
- 🙂Health Care Benefits
Work-Life-Integration
- 🕺No Dresscode
- 🧳Relocation Support
- 🅿️Employee Parking Space
- 🐕Animals Welcome
- 🏠Home Office
- ⏰Flexible Working Hours
- ⏸Educational Leave/Sabbatical
- 🚌Excellent Traffic Connections
Food & Drink
Job Locations
Topics that you deal with on the job
This is your employer
NETCONOMY
Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Graz, Graz, Zürich, Wien, Dortmund, Amsterdam, Berlin
NETCONOMY is a leader in designing digital platforms and customer experience innovations, helping companies to identify and successfully capitalize on digital potential. Our flexible, scalable solutions are based on the latest technologies from SAP, Google Cloud, and Microsoft Azure. With over 20 years of experience and nearly 500 experts across Europe, we help our clients increase their innovation power and expand their core businesses into the digital world.
Description
- Company Size
- 250+ Employees
- Founding year
- 2000
- Language
- English
- Company Type
- Digital Agency
- Working Model
- Hybrid
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(2 Reviews)Engineering
3.8Career Growth
3.7Culture
4.5Workingconditions
4.2
Senior Machine Learning Engineer
- Salary
- from 53.802 € Gross/Year
- Location
- Graz, Vienna, Pörtschach am Wörther See
- Working Model
- Hybrid, Onsite
- Easy Apply
- Easy Apply
