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You will be updated with latest job alerts via emailWho We Are
Verve has created a more efficient and privacy-focused way to buy and monetize advertising. Verve is an ecosystem of demand and supply technologies fusing data media and technology together to deliver results and growth to both advertisers and publishersno matter the screen or location no matter who what or where a customer is. With 30 offices across the globe and with an eye on servicing forward-thinking advertising customers Verves solutions are trusted by more than 90 of the United States top 100 advertisers 4000 publishers globally and the worlds top demand-side platforms. Learn more at .
Who You Are
We are looking for a Senior Data Scientist to join our Verve Marketplace Data Science team. You will work across data science backend engineering and MLOps deploying models optimizing real-time performance and managing large-scale data pipelines. This hands-on role covers the full lifecycle from design and deployment to monitoring and optimization with a direct impact on revenue and product performance.
What You Will Do
Design implement and maintain high-performance backend systems for AI-powered products
Deploy integrate and optimize machine learning models into production by building gRPC/RESTful APIs and microservices for consuming model predictions
Automate model training and deployment with Kubernetes Helm charts and CI/CD pipelines to streamline the path from development to production
Build and optimize systems to ensure minimal delay between input and output often measured in milliseconds
Design distributed systems to handle large AI workloads and high-throughput inference balancing latency and throughput as traffic grows
Develop pipelines and templates for model training deployment monitoring and iteration
Continuously monitor deployed models to ensure they remain safe secure and performant in live environments
Manage and serve features through centralized repositories for consistent use in both training and production
Ensure real-time availability of features for low-latency predictions
Guide and mentor engineers to strengthen backend development and machine learning expertise
Act as an MLOps specialist collaborating with product managers data scientists and other stakeholders to provide actionable recommendations
What You Will Bring
A strong foundation in software engineering combined with specialized knowledge in machine learning systems is essential.
35 years of professional software engineering experience with 3 years focused on building and deploying ML systems in production
High proficiency in Python; experience with compiled languages (Go Java Rust or C) for high-performance low-latency backend services
Hands-on experience with ML libraries such as PyTorch TensorFlow and scikit-learn
Proven ability to build deploy and maintain scalable backend systems including RESTful APIs and microservices (FastAPI Flask gRPC)
Expertise in MLOps including Docker Kubernetes CI/CD (Jenkins GitLab CI GitHub Actions) and Infrastructure as Code (Terraform Ansible)
Experience with model serving platforms (NVIDIA Triton TensorFlow Serving Seldon Core) and optimization techniques such as quantization and pruning
Practical experience with feature stores open-source (e.g. Feast) or commercial (e.g. Tecton SageMaker) for training and real-time inference
Proficiency in at least one major cloud platform (AWS GCP or Azure) and related AI/ML services (Amazon SageMaker Google Vertex AI Azure Machine Learning)
Bachelors or Masters degree in Computer Science Software Engineering Statistics or a related quantitative field
What We Offer
Be part of a multicultural team that is bringing advertising to the next level
You will learn and evolve in an empowering environment characterized by entrepreneurial actions
Responsibility independence and an opportunity to participate in projects that have a significant impact on Verves success
3 Wellness days per year (in Q1 Q2 & Q3) and Employee Assistance Program through Nilo Health to help you maintain your well-being
Enhance your professional skills with a yearly training budget and improve your language skills through German and/or English classes
Work and Travel Program (monthly raffle after 2 years of employment)
We are eager to build a great team together and we appreciate your help through our Employee Referral Bonus
Align your interests with the companys success and take part in our Employee Shares Purchase Plan
You will be entitled to 27 holidays per year in addition to any of the public/bank holidays
Personalized Benefits Platform; with a budget of 100 EUR/month you can choose the benefits that fit you best from the following options:
Internet allowance
Mobility allowance such as BVG/HVV tickets and car/bicycle rental
Kindergarten daycare center subsidy
Sport membership (Urban Sports Club - M) and personal development
Shopping vouchers
Enjoy food and beverage benefits with colleagues and have fun during team events
Take advantage of our Employee offers and discounts
Corporate Pension Scheme
Verve provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws. #LI-Hybrid
Your application has been successfully submitted!
Required Experience:
Senior IC
Full-Time