Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Data Science
Good to have skills : NA
Minimum
5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
Roles Responsibilities:
- Define and drive ML strategy across identified use cases, ensuring alignment with delivery objectives.
- Lead a team of data scientists and ML engineers, providing technical direction and mentorship.
- Establish feature engineering direction and standards across the data science workstream.
- Design and oversee experiment tracking frameworks and model validation strategies.
- Own end-to-end ML model lifecycle from evaluation and selection through to production deployment.
- Evaluate and select appropriate ML models, including gradient boosting and ensemble approaches.
- Collaborate with data engineering and architecture teams to ensure model-ready data pipelines.
- Provide hands-on guidance on Databricks,
including use of Databricks-native models and MLflow.
Professional Technical Skills:
- ML Strategy: Proven ability to define ML strategy across multiple concurrent use cases.