Role overview
We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You’ll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy individual with a strong business acumen to make a significant impact on our customer retention and long-term success.
What you'll work on
- Design, train, validate, and optimize classical ML models (e.g., regression, decision trees, random forests, gradient boosting) for structured and semi-structured data.
- Perform feature engineering, model selection, hyperparameter tuning, and evaluation using tools like scikit-learn, XGBoost, LightGBM.
- Build robust data preprocessing pipelines and scalable workflows for model training and inference.
- Collaborate on the development of agentic AI components — systems capable of autonomously planning, adapting, and executing tasks toward high-level goals with limited human oversight.
- Integrate classical machine learning models into agentic AI workflows where predictive capabilities inform planning, decision-making, and action selection.
- Develop and evaluate interfaces between agentic components and external tools, APIs, or systems to enable real-world actions.
- Work closely with data engineers, software developers, product owners, and domain experts to translate analytical insights into operational workflows.
- Document model development, deployment decisions, and agentic AI design choices.
- Contribute to best practices in ML lifecycle management and agentic system governance.
- Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus.
What we're looking for
- Bachelor's or Master's degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- 5 years of progressive experience in data analysis, business intelligence, or data science roles.
Tags & focus areas
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