Job Description:
- 10 years experience as AI/ML Engineer
- Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
- Operationalize complex machine learning models into production including end to end deployment.
- Understand standard Machine Learning algorithms (Regression Classification) & Natural Language processing concepts (sentiment generation topic modeling TFIDF) .
- Working knowledge of standard ML packages like scikit learn vader sentiment Pandas PySpark.
- Design Develop and maintain adaptable data pipelines to maintain use case specific data.
- Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
- Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversights model review cadence.
- Support the operationalized models and develop runbooks for maintenance.
Skills: AI/ML MLOps GCP Python SQL and experience in SDLC projects
Job Description: 10 years experience as AI/ML Engineer Work and collaborate with data science and engineering teams to deploy and scale models and algorithms. Operationalize complex machine learning models into production including end to end deployment. Understand standard Machine Learning algorit...
Job Description:
- 10 years experience as AI/ML Engineer
- Work and collaborate with data science and engineering teams to deploy and scale models and algorithms.
- Operationalize complex machine learning models into production including end to end deployment.
- Understand standard Machine Learning algorithms (Regression Classification) & Natural Language processing concepts (sentiment generation topic modeling TFIDF) .
- Working knowledge of standard ML packages like scikit learn vader sentiment Pandas PySpark.
- Design Develop and maintain adaptable data pipelines to maintain use case specific data.
- Integrate ML use cases in business pipelines & work closely with upstream & downstream teams to ensure smooth handshake of information.
- Develop & maintain pipelines to generate & publish model performance metrics that can be utilized by Model owners for Model Risk Oversights model review cadence.
- Support the operationalized models and develop runbooks for maintenance.
Skills: AI/ML MLOps GCP Python SQL and experience in SDLC projects
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