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.