Machine Learning Engineer

Position:
Senior Machine Learning Engineer

Company:
Weekday's Client

Location:
India, Mumbai

Employment type:
Full-time

Short Summary:
This role is for one of Weekday’s clients, focusing on designing statistical and machine learning models for sports intelligence products.

Responsibilities:
- Design, build, and validate predictive and descriptive models over live and historical sports data
- Define performance metrics and rating systems, and defend their methodology to product, commercial, and external stakeholders
- Own feature engineering and the analytical datasets your models depend on, working from the team's data marts
- Establish validation, backtesting, and monitoring practices appropriate to models whose outputs are published in real time
- Take models from prototype to production, working with data and backend engineers on serving and integration
- Investigate model failures and drift, and improve accuracy and robustness over time
- Translate domain questions from product and sports stakeholders into tractable modelling problems

Requirement:
- 5+ years building statistical or machine learning models in production, with clear ownership of modelling decisions rather than only implementation
- Strong grounding in applied statistics: probabilistic modelling, regression, time-series or sequential data, and rigorous validation
- Strong Python and the standard modelling stack; strong SQL
- Demonstrated ability to work with large, messy, real-world event data
- Ability to explain and defend a model's methodology to a non-technical audience
- Judgement about model complexity: knowing when a simple, explainable model is the correct answer

Must-have skills:
Python, SQL