Senior Machine Learning Engineer (f/m/d)

Job description


Why Scout24?

Scout24 is home of ImmoScout24, Germany’s #1 for real estate. With ImmoScout24 we have been revolutionizing the real estate market in Germany and Austria for more than 20 years. Our goal is to build a digital ecosystem that brings homeowners, seekers, and agents together. Finding the right home and property is one of the most important decisions in life. So is your career! #WorkingatScout24 means being part of a diverse and inclusive team of 1,060 colleagues and 58 nationalities. We embrace difference and celebrate individuality. By encouraging open mindedness and authenticity we enable a true learning culture and prepare the ground for personal development. Mistakes are a chance to grow and to innovate. Together we act proactively, strive for improvement, and take responsibility. We talk about success and challenge while treating each other with respect because we are #oneteam.

If this sounds interesting to you, we would love to see you joining us! Even if you may not tick all the boxes of the job requirements, we are happy to hear about the value you can add to the team. Grow with us!. Welcome home!

Aside from our people and company culture we are offering awesome benefits that make Scout24 a great place to work!

  • Compensation: A competitive salary package and a bonus on top.
  • Flexibility: Decide for yourself where you work most effectively. We offer you a hybrid working model, autonomous working time management and 30 days of vacation annually.
  • Work from abroad: Our remote working policy includes the possibility to work from abroad for a few weeks per year (if it gets along with business and team needs)
  • Relocation: Our relocation agency supports you with your visa process and an attractive relocation package.
  • Use our products: As an employee you can take advantage of our plus membership for tenants on ImmoScout24 to find a new place to live.
  • Development: Dedicated learning time per month, online courses on our ScoutAcademy, regular book challenges, structured feedback, “Lunch & Learn”-Events and individual career paths to push your career to the next level.   
  • Have kids? We'll support you with a professional family service, which helps you to find a childcare center or offers emergency childcare.  
  • Furry feel good manager: Bring your dog to work (upon approval, as we prioritise the well-being of our employees and ensure that our dog policy is considerate of allergic individuals and prevents overcrowding on each office floor)
  • Mobility: We subsidize public transport or Job Bikes.
  • Commitment to sustainability and Diversity, Equity & Inclusion (DEI): We have clear environmental and climate protection goals and are involved in social activities and charitable organizations throughout the year. We live the diversity. Our theme weeks on diversity, mental well-being, and other social issues give us time and space to develop ourselves on DEI and sustainability.
  • Most innovative office: Our office is in the heart of Berlin right at the central station. 2021 it was awarded for the most innovative office concept. We have an own gym with regular courses, napping room, rooftop terrace, organic coffee, snackbar, 100% green electricity and a massage therapist that comes in once a week.
  • We are a tech company: We work with the latest technical tools and hardware. 

How Your Role Will Look Like

  • Develop and implement machine learning models to solve complex business challenges, utilizing AWS services like SageMaker for scalability.
  • Utilize PySpark for data preprocessing and model training preparation.
  • Deploy models using Flask or FastAPI alongside Docker, focusing on custom LLM fine-tuning and API readiness.
  • Optimize MLOps workflows to enhance the end-to-end ML development process, ensuring reliability and scalability in production systems.
  • Collaborate with teams to integrate ML solutions into existing infrastructure.
  • Lead the design of scalable, secure ML architectures aligned with business needs, working closely with product managers.
  • Provide guidance and mentorship to junior team members, staying updated on the latest ML advancements to foster a culture of continuous learning.
  • Effectively communicate with stakeholders to grasp business requirements and expectations.

What You Need To Succeed

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field.
  • 5+ years of experience in creating and deploying machine learning models as endpoints.
  • Proficiency in AWS services, especially SageMaker.
  • Experience working with Spark (preferably using PySpark)
  • Strong knowledge of MLOps best practices and workflows.
  • Experience with containerization technologies, such as Docker.
  • Profound communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Solid understanding of solution architecture and the ability to design scalable systems.
  • Nice to have: experience in developing, deploying and maintaining LLMs (custom/enterprise) for text and images.

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