Machine Learning Engineer
3 days ago
Must have skills: Python, scikit learn, vader sentiment, pandas, pyspark, ML (Regression, Classification etc.), NLP – Must have strong exp in MLOps.
Roles and responsibilities:
- 10+ years’ experience
- 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 Oversight's model review cadence.
Support the operationalized models and develop runbooks for maintenance
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