Machine Learning Engineer

Gvision is a recognized leader in Trade Promotion Management (TPM), Trade Promotion Optimization (TPO), and Revenue Growth Management (RGM). Leveraging the power of the Salesforce platform, we enable consumer goods companies to achieve their RGM objectives through our fully integrated, user-friendly solution suite. About the Team Our Data Science team builds scalable machine learning models that power advanced analytics for the CPG and Retail industries.

We help global brands optimize their pricing and promotional strategies by forecasting sales volume, measuring promotion effectiveness, and analyzing price elasticity of demand. We are looking for a Machine Learning Engineer to strengthen the engineering backbone of our ML systems - designing robust training pipelines, deploying models to production, and ensuring our solutions run reliably at scale on cloud infrastructure. Work Mode Fully remote.

On-site collaboration 2-3 days per quarter. Key

ML Pipeline Development: Design, build, and maintain end-to-end machine learning pipelines covering data ingestion, feature engineering, model training, evaluation, and serving. Model Training & Optimization: Train and optimize gradient boosting models (LightGBM, XG

Boost) and deep learning architectures such as Temporal Fusion Transformers (TFT) for time-series forecasting at scale. Cloud Infrastructure: Deploy and manage ML workloads on AWS (S3, EC2, Lambda), including containerized training jobs, sch