AI Engineer developing intelligent systems that power our expense management for a fintech company based in Berlin. Designing scalable AI infrastructure and delivering real-world finance solutions.
Responsibilities
Challenge the status quo and rethink how AI can transform the finance and accounting world.
Build AI/ML products that make you the messiah for accountants, delivering magical automation where it matters most.
Architect a scalable data platform, because true AI supremacy starts with data.
Fine-tune LLMs and train ML models on our most precious data to achieve levels of accuracy others can only dream of.
Set up strong observability and model management infrastructure so we stay on top of our AI game at all times.
Shape expense management from day one by solving real pain points with intelligent automation.
Requirements
You have at least 3 years of hands-on experience as a Pythonista, a strong background in AI, Machine Learning or Data Engineering and you have hands-on experience building and operating production-grade systems.
You understand that strong architecture is the backbone of effective AI. You bring solid system design skills and know how to build scalable, reliable and maintainable services, especially in fast-moving AI environments.
You’re highly proficient in GCP or AWS and ideally bring experience in data engineering, distributed systems or modern data platform components.
Monitoring, evaluation, and transparency are core to how you build. You design with observability in mind from day one to ensure models and services run stably and predictably.
You thrive in dynamic environments and adapt quickly to new developments. AI moves fast and so do you.
You actively use AI tools to accelerate your workflow, increase your output quality and create real 10x impact in your engineering work.
You take responsibility in uncharted territory. With AI/ML best practices still being defined, you operate independently, with curiosity and a solution-oriented mindset to help shape what comes next.
You communicate fluently and confidently in English and collaborate effectively with both technical and non-technical stakeholders.
Benefits
VSOP. Benefit financially when Circula thrives – our Virtual Stock Option Plan lets you share in our success
Circula’s Benefits. Enjoy Circula's food, internet and mobility allowances of up to €200 per month on us!
Flexible working. We have a hybrid working model, a great, centrally located office in Berlin and offer home office days
Learning and Development. Use your €1500 budget for books, conferences, courses and more.
Free Urban Sports Club membership. Keep fit and healthy with the sports that you love.
Positive and open-minded. We love to socialize at team and company events. We also love pets, so your dog is always welcome too!
Machine Learning Engineer designing VLM systems and video processing pipelines for TwelveLabs’ Video AI capabilities. Collaborating with researchers and engineering teams to enhance product solutions.
Lead Machine Learning Engineer developing AI/ML solutions for Disney's immersive experiences across parks, resorts, and entertainment. Collaborate with cross - functional teams for innovative technology implementation.
Senior Machine Learning Engineer working on MLOps and Computer Vision for a tech company. Focused on building training pipelines and robust model operation systems.
Systems software expert in perception fusion and deep learning for autonomous vehicles at NVIDIA. Designing and prototyping multimodal perception solutions for enabling autonomous driving features across OEM partners.
Senior Machine Learning Engineer at IT Labs collaborating on AI solutions for engineering innovation. Design, develop, and deploy machine learning models in a hybrid work environment.
AI/Machine Learning Engineer developing AI solutions that transform health data into actionable insights. Leading initiatives to improve patient outcomes through advanced AI techniques.
Machine Learning Engineer developing data pipelines and optimizing machine learning models for Vanguard. Engaging with data science teams and internal stakeholders for innovative AI solutions.
Machine Learning Engineer responsible for developing central SaaS products for Fortnox in Växjö. Collaborating within an agile team to innovate and enhance machine learning solutions.
Machine Learning Engineer in FOX's Forward Deployed program. Building and monitoring production machine learning models within live systems while rotating across business units in the media industry.
Machine Learning Engineer developing robust algorithms and recommendation systems for Pluralsight, enhancing learner experiences and delivering content tailored to needs.