Senior Machine Learning Engineer II | JobSetuu

Description

Job Overview

• Source: Arbeitnow
• Location: Berlin, Germany
• Job Type: Full-Time

Job Description

At SumUp, we are motivated by the purpose of levelling the playing field for small businesses. We empower small business owners by creating simple and affordable tools to manage payments, finance and customer relationships. We are a passionate team that thrives on human connection, autonomy and the desire to constantly learn, guided by our values: Founder's Mentality, Team First, and We Care. We want to build an enduring organisation that is people-positive, disciplined and that constantly innovates from within. Agility is the essence of an enduring organisation and we strive to create an organisation that fosters it.

In Global Operations, we build the best customer experience in fintech. The Senior AI/ML Engineer role is critical for developing and deploying the next generation of AI-driven solutions that automate support and drastically improve the experience for both our merchants and support agents. You will be a key expert who builds and maintains the ML infrastructure and tooling that powers our core products using advanced AI/ML models. This role is a replacement, essential for maintaining momentum as we expand complex use cases like our AI Assistant and translation tools.

What You'll Be Doing

• You will be the dedicated technical leader for the Operations AI team, focused on designing, developing, and deploying high-performance, scalable ML/AI solutions in production environments.
• Architect, design, develop, and deploy our AI solutions and systems into production environments, ensuring reliability, high performance, and scalability.
• Take ownership and technical leadership in the development and maintenance of main AI products, including the AI Assistant (automating ~40% of merchant requests), AI Translation (enabling cross-language agent service), and the AI Agent Copilot.
• Develop and maintain ML infrastructure and pipelines to support efficient data processing, model training, serving, and continuous monitoring.
• Optimise and fine-tune machine learning models, and collect, preprocess, and clean large text datasets to ensure high-quality input for model training and evaluation.
• Embrace software development principles, best practices, and industry standards, including version control (Git), CI/CD processes (GitHub actions), and unit testing frameworks.
• Collaborate closely with Data Scientists, Product Managers, Developers, and other business stakeholders to enhance customer experience and improve operational efficiency globally.
• Complex Onboarding: Rapidly master a large, existing AI assistant infrastructure, starting immediately with working on behaviour improvements and agentic rollouts.
• Pilot and Innovation: Lead the creation of the pilot for the Voice Assistant and design how to leverage current AI assistant components to empower new channels.

You'll Be Great for This Position If You Have

• 7+ years of proven experience as a Machine Learning Engineer or AI Engineer, focusing on building and deploying scalable machine learning or AI solutions and data-driven systems.
• Expert-level Python proficiency and excellent software development engineering skills for designing computationally effective solutions in large-scale production.
• Strong previous experience as an ML or AI engineer, with models in production, and a strong understanding of artificial intelligence, machine learning, and deep learning concepts.
• Experience using GenAI / LLM API and experience evaluating LLM models in production.
• Experience building and deploying ML Models using Cloud platforms (AWS, GCP, or Azure).
• Familiarity with MLOps tools (e.g., MLFlow, Kubeflow, Airflow, Langfuse), and hands-on experience with Kubernetes, Git, and Airflow.
• Good understanding of data pipelines, API design, containers (Docker), and version control (Git).
• Experience building, maintaining, and scaling APIs, and deployment using CI/CD Pipelines in GitHub actions.
• A true team player attitude who thrives on cross-functional collaboration.
• Self-drive, proactiveness, and high adaptability in a fast-paced environment, with a commitment to data governance, quality, and ownership.
• A passion for AI Technology, excited to power SumUp's next generation of automated support tools, and able to translate complex concepts to non-technical stakeholders.

Why you should join SumUp

🌎 Opportunity to work with SumUppers globally on large-scale fintech products used by millions of businesses worldwide, from our Berlin office. This involves an office-first setup.

🌈 Commitment to Diversity and Inclusion: be part of a workplace that values and promotes diversity, fostering an inclusive environment where everyone's perspectives are respected and embraced.

🚀 Enrolment onto our Virtual Stock Option programme: you will own a stake in SumUp's future success.

📚 A dedicated annual L&D budget of €2000 for attending conferences and/or advancing your career through further education.

💶 A corporate pension scheme where we match up to 20% of your contributions.

🏖️ Generous time off: enjoy 28 days of paid leave plus public holidays and special leave days.

🚵🏾‍♂️ Numerous other benefits such as Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches.

🌴 Break4me: 1-month sabbatical after 3 years of service.

🔗 Referral Bonus: earn additional rewards by referring talented individuals to join the SumUp team.

About SumUp

At SumUp, we're on a mission to empower small businesses around the world with simple, affordable tools to help them start, run, and grow. More than 4 million merchants across 36 markets trust us as their financial partner — and we're just getting started. We're a global team of 3,000+ people from over 90 nationalities, united by curiosity, collaboration, and care. Our core values and culture shape everything we do, fostering inclusion, learning, and belonging.

SumUp is proud to be an Equal Employment Opportunity employer, committed to building a safe, respectful, and diverse workplace where everyone can thrive.

👉 Explore more about our culture on our careers site, or follow us on LinkedIn and Instagram.

Find more English Speaking Jobs in Germany on Arbeitnow

Expert Career Tips for Senior Machine Learning Engineer II Roles

To succeed in a competitive market as a Senior Machine Learning Engineer II, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Senior Machine Learning Engineer II requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Berlin, Germany and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Berlin, Germany, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Senior Machine Learning Engineer II position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.