What you’ll do
- Frame business problems as ML tasks and choose sensible baselines
- Prepare data, train and evaluate models in Python
- Deploy models behind APIs or batch pipelines
- Monitor model quality and drift, and retrain when needed
- Explain results clearly to clients and product teams
What you’ll bring
- Strong Python and experience with scikit-learn and PyTorch or TensorFlow
- Good grounding in statistics, evaluation metrics and validation
- Experience shipping at least one model to production
- SQL and data wrangling with pandas
- Familiarity with Docker and a cloud ML platform
Nice to have
- MLflow or Weights & Biases
- Recommendation or forecasting systems
- Experience with LLMs
Why Brandsmashers
Real products for startups and enterprises worldwide, modern stacks with no legacy baggage, and a team that values output over hours. Expect sponsored certifications, tech talks and hackathons, health coverage and wellness days, flexible timings and early ownership of what you build.
See life at Brandsmashers →