✨ About The Role
- The role involves designing, developing, and deploying advanced predictive models using machine learning techniques.
- The candidate will lead the design and implementation of generative AI models to create synthetic data and content.
- Staying up to date with the latest developments in AI and machine learning is a key responsibility.
- The position requires working on end-to-end AI/ML projects, from data collection to production deployment.
- Ensuring model accuracy and robustness through rigorous testing and continuous monitoring is essential.
- The candidate will provide guidance and mentorship to junior data scientists and data engineers within the team.
âš¡ Requirements
- The ideal candidate will have around 10+ years of experience in data science, machine learning, and AI.
- A strong foundation in machine learning, statistical modeling, and deep learning is essential for success in this role.
- Proven expertise in predictive modeling techniques such as regression analysis, time series forecasting, classification, and clustering is required.
- Hands-on experience with Generative AI models and the ability to generate synthetic data, images, or text is crucial.
- Proficiency in programming languages like Python and R, as well as frameworks such as TensorFlow and PyTorch, is necessary.
- The candidate should have experience with cloud platforms for scaling AI models and deploying solutions.
- Strong knowledge of data preprocessing and feature engineering is important for this position.