Machine Learning Engineer

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.

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

• 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 (LangGraph, Google Agent Development Kit (ADK), 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

• 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

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.

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