Senior Machine Learning Engineer (fmx)

Netconomy; Wien; Hybrid; EUR 60 000 - 80 000; Vollzeit

Zusammenfassung

A digital solutions company in Vienna seeks a Machine Learning Engineer to drive innovation and implement cutting-edge AI solutions. You will design and build Generative AI applications while collaborating with diverse teams. Candidates should possess experience in Applied AI and cloud AI offerings. Along with competitive compensation, the company offers flexible working models and excellent career development opportunities.

Leistungen

Flexible working models

Career development opportunities

Monthly meal allowance

Mobility support for eco-friendly transportation

Qualifikationen

• 3 years of experience in Applied AI or Machine Learning.
• Proficiency in building scalable Generative AI applications.
• Strong familiarity with agent development frameworks.

Aufgaben

• Design and implement Generative AI solutions and AI agents.
• Collaborate with teams to deliver AI solutions.
• Conduct research on emerging AI models and frameworks.

Kenntnisse

Applied AI or Machine Learning experience

Generative AI and Agentic applications knowledge

Strong communication skills

Familiarity with emerging AI technologies

Cloud AI offerings knowledge (GCP, AWS, Azure)

Tools

Google Cloud AI / ML stack

Docker

Kubernetes

Jobbeschreibung

Job description

Over the past 20 years NETCONOMY has grown from a startup to a 500‑people team working across 10 European locations. We believe in the power of agile and cross‑functional collaboration bringing together people from various backgrounds to create outstanding digital solutions.

YOUR JOB

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.

Key Responsibilities

• 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

Essential Skills

• 3 years of experience in Applied AI or Machine Learning in the industry
• Proficiency in building Generative AI and Agentic applications at scale with expertise in using agentic frameworks, vector databases, grounding and other relevant concepts
• 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
• 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

Beneficial Skills

• 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
• Knowledge of Docker and Kubernetes
• Familiarity with CI / CD processes for MLOps / AIOps
• A/B testing expertise for AI models and applications

OUR OFFER

While we’re one company each location has unique aspects and benefits. Here’s a glimpse of what to expect:

Flexible Working Models: Early bird or night owl. Thanks to our flexible working models you start your work day when and where it fits you best. Plus our hybrid work option lets you choose whether you prefer working more from the office or from home.

Career Development & Onboarding

Start your journey in NETCONOMY with a structured onboarding and mentoring phase and continue with individual training opportunities. Our Learning & Development team will support you in finding the best solution for you!

Company Summit

Exchange professional and personal experiences at our annual in‑house conference! One of the highlights of our company Summit is the vibrant networking environment it cultivates.

Social Events

Join your colleagues and build new connections at our social events like pizza & games evenings, hiking and Christmas party and celebrate milestones together. It’s on us!

Snacks and Wellbeing

Fuel your productivity and taste buds with our monthly meal allowance and discounts at partner restaurants.

Mobility Support

Choose eco‑friendly transportation! As we take our responsibility for the environment seriously we support your climate‑friendly transportation costs.

The actual salary depends on your qualifications and experience. What is also important to us is to pay our employees an internally comparable salary. For legal reasons we need to disclose the minimum annual salary for full time employment as stated in the current collective IT agreement which is 53.80200 gross / year for this position.