Job description
Job Description
Must have Skills : Python (Strong), Machine Learning on Azure (Strong), SQL (Strong), Model Deployment and Monitoring (Strong), MLOps,
Job Description :
- Must have 8+ years of IT experience.
- Develop and implement machine learning models to solve complex business problems.
- Strong understanding of statistical analysis and modelling techniques (e.g., regression analysis, hypothesis testing, time series analysis)
- Deploy machine learning models to production environments, ensuring that models are integrated with software systems.
- Monitor machine learning models in production, ensuring that models are performing as expected and that any errors or performance issues are identified and resolved quickly.
- Maintain machine learning models over time. This includes updating models as new data becomes available, retraining models to improve performance, and retiring models that are no longer effective.
- Develop and implement policies and procedures to ensure the ethical and responsible use of machine learning models. This includes addressing issues related to bias, fairness, transparency, and accountability.
- Design, contribute, and participate in the implementation of Python libraries answering a data science transversal need that can be reused in several projects.
- Maintain existing data science assets (timeseries forecasting asset, model monitoring asset)
- Create documentation and knowledge based on data science assets to ensure users understand them well.
- Participate in asset demos to showcase new features to users.
- Proactively identify areas of improvement within the pipelines.
- Must have experience in MLOps.
- Good to have knowledge of Deep Learning fundamentals.
