Data Science and Machine Learning engineer

Role Overview: You will be joining Winbold, a startup focused on an AI-driven investment platform. As a Data Science and Machine Learning Engineer, you will be responsible for hands-on tasks such as feature engineering, model training, and building predictive models for real-time predictions and forecasts. You should have expertise in ML Packages like sklearn, xgboost, and timeseries models, along with experience in feature engineering, MLFlow for model experimentation, model visualization, and deploying models in Cloud and hosted environments at scale. Developers with AI-driven mindset are encouraged to apply. Immediate joining is required, and candidates with notice period should not apply. Key Responsibilities: - Hands-on experience in feature engineering, model training, and building predictive models - Proficiency in ML Packages such as sklearn, xgboost, and timeseries models - Experience in feature stores and MLFlow for model experimentation - Ability to visualize models effectively - Deployment of models in Cloud and hosted environments at scale Qualifications: - No specific degree requirement - Looking for a hands-on developer who can efficiently complete tasks (Note: Omitting the "Additional Information" section as it does not contain relevant details about the job role),