Job Description
As the Lens platform grows, we will add forecasting and predictive intelligence features on top of our POS dataset. We are identifying and building relationships with AI/ML engineers now so we are ready when that phase begins. This is a standby role project-based engagement to start, with the potential to grow into a core position.
Key Responsibilities
- Build forecasting models on top of FMCG sellout data
- Develop demand prediction and trend detection features
- Work with the data engineer to access and prepare model training data
- Translate model outputs into actionable signals for the platform
- Advise on AI product direction as features evolve
Requirements
- Experience building and deploying ML models in production
- Proficiency in Python and common ML frameworks (scikit-learn, XGBoost, PyTorch)
- Background in time-series forecasting or FMCG/retail data is a plus
- Comfortable working in a project-based, async setup
- Strong communicator able to explain model logic to non-technical stakeholders
Location: Remote / Flexible
Engagement: Freelance / Retainer - Project-based
Required Skills
xgboost
pytorch
python
AI/Machine Learning (Deep Learning
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