the job<br/><br/>- Developer role, ML Model implementation, experimentation & related software engineering focused<br/><br/>- Experience as a data scientist with preference in data analysis & forecasting algorithms<br/><br/>- Python, PySpark development experience a must<br/><br/>- 3-4 years of very good Python, PySpark development experience<br/><br/>- 1-2 years of software development experience - preferred<br/><br/>- 1-2 years of experience as a data scientist with preference in forecasting algorithms<br/><br/>- Basic understanding for MLOPS<br/><br/>- Exposure to ML models such as random forest, XGboost, LightGBM, and some other ensemble modeling algorithms<br/><br/>- Basic understanding for Azure Cloud Platforms (databricks, Azure ML studio, etc)<br/><br/>- No Phds.
BS or MS degree is Software Engineering, Computer Science or Statistics related<br/><br/>- Ability to learn fast and handle multiple priorities<br/><br/>- Developer role, ML Model implementation, experimentation & related software engineering focused<br/><br/><b>Essential Experience on Demand forecasting Good programming in Python<br/><br/>- Good understanding of ML concepts and algorithms in general.
Especially, forecasting methods & math.
No MLOps needed.<br/><br/>- Understanding of ensemble models: XGBoost, CatBoost and LGBM<br/><br/><b>We offer:</b></p><p><p><b><br/></b></p>- Opportunity to work on bleeding-edge projects<br/><br/>- Work with a highly motivated and dedicated team<br/><br/>- Competitive salary<br/><br/>- Flexible schedule<br/><br/>- Benefits package - medical insurance, sports<br/><br/>- Corporate social events<br/><br/>- Professional development opportunities<br/><br/>- Well-equipped office<br/><br/><b>About Us:</b><br/>- 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.<br/><br/>- - - - - - - - </p><br/></p> (ref:iimjobs.com)