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Tech Stack
About the role
- Develop, train, and evaluate ML models, with a focus on tabular, predictive, and ranking models
- Work with data across the full funnel to support performance and optimization use cases
- Contribute directly to production-focused modeling, ensuring models are practical, scalable, and reliable in real-world use
Requirements
- Bachelor’s degree in Machine Learning, Statistics, Computer Science, or a related field
- 3+ years of experience developing ML models for tabular data, with strong understanding of underlying methodologies
- Proven experience owning ML projects end-to-end — from research to production
- Proven ability to extract predictive signal from complex, messy real-world data at scale
- Experience training models on Big Data and optimizing for inference latency
- Hands-on experience with cloud-based ML platforms and MLOps practices (experiment tracking, model versioning, CI/CD, deployment pipelines)
- Strong Python skills and solid experience with tabular ML libraries (scikit-learn, PyTorch, pandas, polars, etc.)
- Solid understanding of experimental design, causality, and robust model validation techniques
- Experience working closely with data engineering pipelines
Benefits
- Competitive salary and benefits package
- Medical insurance
- Top equipment kit
- Full Remote
- Collaborative and innovative work environment
- Career growth and development opportunities
- A chance to work with a talented and driven team of professional
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningpredictive modelingranking modelstabular dataBig Dataexperimental designcausalitymodel validationMLOpsdata engineering
Soft Skills
problem-solvingcommunicationcollaborationproject ownershipscalability focusreliability focus
Certifications
Bachelor’s degree in Machine LearningBachelor’s degree in StatisticsBachelor’s degree in Computer Science