As a ML Engineer, you will be responsible for design and implementation of data pipelines, deploy models, build applications and integrations to productize AI solutions. Good knowledge of public cloud (AWS, Azure or GCP), System Engineering and MLOps is preferred.
Intermediate level experience building microservices and data products on AWS (preferred) and Azure.
• Designing and building data processing services and pipelines handling complex sets of data that meet functional and non-functional requirements.
• Partnering with product managers, architects, and other engineers on the team in building and testing new features and fixing defects.
• Be independent and self-driven to deliver results in assigned areas. Bias for action is essential.
B.E/B.Tech
0-4yrs
- Javascript, UI development
- Data warehouse and BI Reporting. Test Automation,
- Python , SQL, PySpark, algorithms.