Senior Machine Learning Engineer
Senior Machine Learning Engineer
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Job Description
Location Details: Colombia remote
At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.
This is a remote position so youll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.
Join Our Team
The Commerce Data & ML team is at the core of powering intelligent and secure experiences forGoDaddys Commerce division. Partnering with the Data Science team we support a wide range of machine learning and data engineering efforts that help GoDaddy Commerce understand itscustomers prevent fraud and tailor product work closely with the Risk team to build and maintain production ML Risk Models such asTransaction Risk Scoring and Merchant Risk Models. We also collaborate with the Growth teamto enable data-driven marketing and customer segmentation through reliable pipelines andpredictive models.
Weve evolved a robust ML platform built on SageMaker Pipelines Tecton feature store GlueGitHub Actions and MLflow - with support for both batch and real-time recently weve begun developing prompt engineering workflows for a Senior Machine Learning Engineer on the Commerce Data & ML team in Colombia youwill play a key role in building production-grade pipelines and scalable ML systems that supportfraud mitigation customer insights and AI-driven experiences.
What youll get to do...
- Design build and maintain robust ML pipelines for both batch and real-time inference using tools such as SageMaker Pipelines EventBridge mlflow and feature stores.
- Collaborate with Data Scientists Engineers and stakeholders to implement monitor and optimize ML workflowsincluding model training evaluation drift detection and deployment.
- Enhance and manage CI/CD pipelines for ML models oversee model promotion and retraining workflows and ensure seamless integration across different environments.
- Lead the end-to-end delivery of ML features from architecture and implementation to monitoring and iteration while guiding and mentoring junior engineers and promoting best practices.
- Support operational excellence by participating in on-call rotations production incident response post-mortems and contributing to the planning and scoping of ML initiatives.
Your experience should include...
- 7 years in the software industry with at least 5 years focused on ML engineering pipelines or applied machine learning.
- Hands-on experience with AWS SageMaker Studio Tecton and proficiency in Python and ML frameworks (e.g. scikit-learn PyTorch TensorFlow).
- Experience with experiment tracking (MLflow) orchestrating ML workflows (SageMaker Pipelines EventBridge) and building/monitoring both batch and real-time inference pipelines.
- Familiarity with data preparation and streaming tools (Glue EMR Flink) for feature pipelines.
- Solid understanding of CI/CD for ML (model deployment endpoint configuration validation) and strong cross-functional collaboration skills with Data Science Risk and Engineering teams.
You might also have...
- Experience building dual-model pipelines (e.g. NeuralNet XGBoost) and evaluating ensemble performance.
- Knowledge of business-aligned success metrics like recall hit rate false positives and model drift thresholds.
- Experience with fraud detection risk modeling or financial domains.
- Familiarity with prompt engineering LLM integration and evaluation workflows for generative AI.
- Backend or data engineering skills in Java Scala or Go (nice to have).
Wevegot your back...We offer a range of total rewards that may include paid time off retirement savings (e.g. 401k pension schemes) bonus/incentive eligibility equity grants participation in our employee stock purchase plan competitive health benefits and other family-friendly benefits including parental leave. GoDaddys benefits vary based on individual role and location and can be reviewed in more detail during the interview process.
We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle No problem. We love entrepreneurs! Most importantly come as you are and make your own way.
About us... GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online making opportunity more inclusive for all. GoDaddy is the place people come to name their idea build a professional website attract customers sell their products and services and manage their work. Our mission is to give our customers the tools insights and people to transform their ideas and personal initiative into success. To learn more about the company visit About Us.
At GoDaddy we know diverse teams build better productsperiod. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas experiences and perspectives. But we also know thats not enough to build true equity and belonging in our communities. Thats why we prioritize integrating diversity equity inclusionn and belonging principles into the core of how we work every dayfocusing not only on our employee experience but also our customer experience and operations. Its the best way to serve our mission of empowering entrepreneurs everywhere and making opportunity more inclusive for all. To read more about these commitments as well as our representation and pay equity data check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.
GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements.Refer to our full EEO policy.
Our recruiting team is available to assist you in completing your application. If they could be helpful please reach out to
GoDaddy doesnt accept unsolicited resumes from recruiters or employment agencies.
Required Experience:
Senior IC
Employment Type
Full Time
