Manager - MLOPS
- Work hands-on on building the model deployment and monitoring pipelines based on in-depth understanding of underlying data, data structures, and business problems to ensure deliverables meet client needs,
- 8 to 10 years of overall experience building the end-to-end design, development, and deployment of predictive modelling solutions.
- 3+ years of experience in NLP algorithms, Regression & Classification Modelling, Time Series Forecasting. Hands on work experience in DevOps
- Exposure on cloud technologies like Azure, AWS or GCP Knowledge in python and packages for data analysis (scikit-learn, scipy, numpy, pandas, matplotlib).
- Knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
- Experience with one or more Container-ecosystem (Docker, Kubernetes)
- Good understanding of OOP & Data Structures concepts
- Proficient in Shell Scripting and automation tools
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