AI Infrastructure Engineer
Tasks
- Act as technical advisor to customers
- Coach customers on data validation
- Coach customers on feature extraction and feature definition
- Coach customers on model and feature monitoring
- Coach customers on production machine learning systems
- Create and deliver best practice recommendations tutorials and sample code
- Deliver tailored machine learning solutions to production
- Design and implement machine learning solutions
- Solve complex machine learning challenges
- Travel to customer sites for deployment and workshops
Perks/Benefits
Skills/Tech-stack
Apache Beam | Apache Spark | C# | C++ | Cloud Computing | Data Pipelines | Data Structures | Data Structures and Algorithms | Data Warehousing | Dataflow | Deep learning | Distributed machine learning | ELT | ETL | Go | Hadoop | Hive | Java | Machine Learning | MapReduce | Monitoring | Pig | Python | Recommendation Engines | Software Design | TensorFlow | Vertex AI | XGBoost
Education
N/A
Roles
AI | AI Engineer | AI Infrastructure Engineer | Cloud AI Engineer | Cloud) | Engineer | Infrastructure Engineer
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