AI/ML Engineer
Residence Based, Residence Based, US
USD 117K-171K Senior-level Full Time
Tasks
- Build robust data pipelines and ensure training data quality
- Design build and operate end to end AI ML and agent based systems
- Design scalable reliable cloud services
- Develop and deploy machine learning models in production
- Develop scalable ML infrastructure including training pipelines feature stores model serving
- Document architectures experiments and results
- Implement CI CD for ML model versioning and A B testing
- Monitor models and improve performance continuously
- Orchestrate and integrate components using agent frameworks containers and web services APIs
- Perform exploratory analysis feature engineering model training and validation
- Translate business requirements into analytical use cases
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Development | AWS | B testing | Backend System Design | CI/CD | Containerization | Data Pipelines | Deep learning | Distributed Systems | Feature Engineering | Feature Store | GCP | MLOps | Machine Learning | Model Monitoring | Model Serving | Model versioning | Python | SQL | Statistical modeling | System design | Workflow Orchestration
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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