ML Engineer

Essential functions

• Build Time Series Models: Create models to predict future trends using time series data.

• Feature Engineering: Prepare and enhance time series data for better model performance.

• Machine Learning: Apply classical machine learning techniques to solve prediction problems.

• Cloud Deployment: Deploy models to cloud platforms like AWS or Azure.

• Demand Forecasting: Work on forecasting models to optimize resources and inventory.

• Model Deployment & CI/CD: Set up pipelines for deploying and updating models continuously.

• Optimization: Apply optimization techniques (e.g., Linear Programming) to improve business processes.

Qualifications

• Minimum 3 years of experience as ML Engineer

• Experience with Python

• Experience with time series predictive models

• Experience with feature engineering for time series data

• Experience with classical ML techniques

• Experience with cloud (any cloud work - AWS, Azure)

Would be a plus

• Experience with demand forecasting domain

• Experience with ensemble algorithms

• Experience with deploying models

• Experience with CI/CD

• Operational Research experience with Linear Programming, Mixed Integer Programming or any other relevant constrained optimization techniques

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.