Machine Learning Engineer

At NewNow, we build and deploy understandable and controllable AI solutions for enterprise clients, enabling them to lead a new era of market success.

Completely bootstrapped and growing at 2X profitability this year, we are on the solid path to outpace this growth next year, organically. We are now looking for top machine learning engineers with a entrepreneurial mind who thrive in a dynamic environment.

Tasks

As an ML Engineer at NewNow Group, you will play a key role in designing and delivering AI-driven solutions for enterprise clients. You will work at the intersection of machine learning and software engineering, translating business challenges into scalable, production-ready systems. This role combines hands-on model development with strong engineering ownership and real-world deployment.

What you'll do

• Design, build, and deploy production-grade AI-powered applications end-to-end
• Develop APIs and integrate ML models and data pipelines into user-facing products
• Collaborate with ML, data, and engxineering teams to ship reliable systems
• Contribute to architectural decisions, tooling, and engineering best practices
• Document systems and share knowledge to support long-term scalability

Requirements

• BSc or higher in Computer Science, Machine Learning, Mathematics, or a related field
• Strong Python skills; Rust or C++ is a plus
• Experience with ML frameworks (PyTorch, JAX, etc.)
• Solid software engineering habits: testing, code reviews, CI/CD
• Pragmatic, results-oriented, and comfortable owning work end-to-end
• Fluent English (German is a plus)

Nice to have

• Experience with real-time, low-latency ML pipelines
• Hands-on experience with transformer architectures, agentic systems, and deep learning in general
• Cloud or on-premises deployment experience (AWS, Azure, etc.)

Benefits

• Remote-first work environment (+/- 3 hours CET) with flexibility, as well as access to an office
• Investment in your personal development and skills set
• Mentorship from experienced C-level leaders
• Regular team offsites and retreats
• Work on cutting-edge AI projects with top clients