ML Ops Engineer (d/f/m)

Our story:

Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence.

Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016

Role Overview

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. 

The ideal candidate will have extensive expertise in designing and implementing efficient workflows for development, deployment, monitoring, and productionizing AI/ML models. 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.

Your responsibilities and decisions:

•  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

Your profile:

• 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

Why Taxfix?

• A chance to do meaningful, people-centric work with an international team of passionate professionals.

• Holistic well-being with free mental health coaching sessions and yoga.

• A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.

• Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.

• 30 annual vacation days and flexible working hours.

• 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 tech 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.

Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.

At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.

Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.