Machine Learning Operations Engineer, Taxfix

• The ideal candidate will have extensive expertise in designing and implementing efficient workflows for development, deployment, monitoring, and productionizing AI/ML models
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 8+ years of experience on a production level ML training or inference system
• Proven experience in managing infrastructure for large-scale ML/AI projects
• Experience with DevOps practices like CI/CD, automation, containerization (Docker), and orchestration (Kubernetes)
• Proven experience working with distributed systems and handling inference at scale
• Proficiency in Python or GO
• Proficiency in cloud platforms like GCP and ML/AI frameworks (TensorFlow, PyTorch, Scikit-learn)
• Excellent problem-solving skills and the ability to work independently or as part of a team to deliver impactful ML-powered solutions in fast-paced environments

• We are looking for an experienced AI/MLOps Engineer to join our centralized AI engineering team that develops and operates reusable datasets and AI/ML models
• The MLOps engineer is pivotal in designing and implementing robust AI/MLOps/LLMOps solutions on the GCP AI/ML platform
• They will collaborate with cross-functional teams to ensure our AI/ML initiatives are delivered with high quality and speed and earn the trust of our customers
• Model Deployment: Manage and optimize model deployment processes, including the use of Kubernetes for containerized model deployment and orchestration
• Model Registry Management: Maintain and manage a model registry to track versions and ensure smooth transitions from development to production
• Design, develop, and maintain robust ETL/ELT, curated and feature engineering processes using Python and SQL to extract, transform, and load data from various sources into our data platforms
• CI/CD Implementation: Develop and implement Continuous Integration/Continuous Deployment (CI/CD) pipelines for model training, testing, and deployment, ensuring high code quality through rigorous model code reviews
• Model Monitoring & Optimization: Design and implement model inference pipelines and monitoring frameworks to support models across various pods, optimizing execution times and resource usage
• Technical leadership & training: Manage, mentor, and train junior engineers, fostering their growth and learning while overseeing a large team
• Collaboration with Data Science Teams: Train and collaborate with data science team members on best practices in tools such as Kubeflow, Jenkins, Docker, and Kubernetes to ensure smooth model productionization
• Reusable Frameworks Development: Draft designs and apply reusable frameworks for drift detection, live inference, and API integration
• Cost Optimization Initiatives: Propose and implement strategies to reduce operational costs, including optimizing models for resource efficiency, resulting in significant annual savings
• Documentation & Standards Development: Produce MLE standards documents to assist data science teams in deploying their models effectively and consistently
• Collaborate with data scientists and ML engineers to understand their computational and data needs and provide efficient solutions
• Stay up-to-date with the latest industry trends in AIML infrastructure, tooling, technologies and advocate for best practices and continuous improvement
• Assist in budget planning and management of cloud resources and other infrastructure expenses

• A chance to do meaningful, people-centric work with an international team of passionate professionals
• Holistic wellbeing with free mental health coaching sessions, yoga, and a discounted membership to Urban Sports Club
• A monthly allowance to spend on home support services, including childcare, housekeeping, pet sitting, tutoring, and elderly care
• Employee stock options for all employees—because everyone deserves to benefit from the success they help to create
• Dedicated relocation and visa support for those that need it
• 30 annual vacation days and flexible working hours
• Full trust to take ownership of your work in a flat hierarchy where feedback is encouraged and expected
• A generous learning budget to support your personal and professional development and guidance from our internal L&D experts
• Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip
• Plenty of opportunities to socialise as a team. In addition to internal meetups, our international team hosts regular get-togethers—virtually and in person when possible
• Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions
• Have a four-legged friend in your life? We’re happy to have dogs join us in the office

Total funding: $326.1m

For many people, filing taxes is still a painstaking, confusing and outdated process. In Germany alone, around 10 million people each year decide not to claim their tax return for this reason. Taxfix solves this problem by making it easier to file tax returns and claim rebates.