Senior AI/ML Engineer
Tasks
- Build scalable serverless systems
- Collaborate with engineers QAs POs and CTO
- Develop predictive analytics pipelines
- Develop time-series forecasting models
- Ensure smooth CI/CD pipelines
- Write unit tests and follow best practices
Perks/Benefits
- Conference co financing
- Course co financing
- English classes co financing
- Flexible working hours
- Individual development plans
- Mentoring
- Paid time off
- Remote work
- Sick leave
- Volunteer opportunities
Skills/Tech-stack
A/B | A/B Testing | ARIMA | AWS Lambda | Amazon ECS | Amazon RDS | Amazon SageMaker | Amazon SageMaker Endpoints | Amazon SageMaker Pipelines | Amazon SageMaker Studio | B testing | CI/CD | DeepAR | Microservices | NoSQL | Predictive Analytics | Prophet | Python | SQL | SageMaker Endpoints | Sagemaker Pipelines | Sagemaker Studio | Series forecasting | Time Series | Time Series Forecasting | Unit Testing | XGBoost
Education
N/A
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