Senior AI/ML Engineer
USD 149K-188K (estimate) Senior-level Full Time
Tasks
- Analyze raw data sources
- Apply new AI ML techniques to real world problems
- Collaborate on dataset preparation
- Conduct experiments and analysis
- Coordinate alert based resolutions
- Create self-running AI systems
- Design predictive modeling systems
- Develop data pipelines
- Diagnose data inconsistencies
- Document assumptions
- Integrate data pipelines in production
- Monitor models and diagnose issues
- Optimize data pipelines
- Perform data discovery
- Review model ready datasets
- Stay current with AI/ML advancements
- Track data lineage
- Translate business requirements into analytics
- Write model monitoring scripts
Perks/Benefits
Skills/Tech-stack
API Design | AWS | AWS Glue | Amazon SageMaker | Azure | Data Lineage | Data Quality | Data discovery | Data pipeline | Design Patterns | Development Lifecycle | ETL | Experimental Design | Feature Engineering | Feature Store | GenAI | Language Models | Large Language Models | Machine Learning | Machine Learning Development Lifecycle | Machine learning development | Model Evaluation | Model Monitoring | NoSQL | Prompt engineering | PySpark | Python | Retrieval-Augmented Generation | SQL | Security | Statistics | Testing | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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