Data collection, profiling, EDA & data preparation
- AI Model development, tuning & validation
- Visualization tools (e.g., PowerBI, tableau)
- Present findings to business users & project management teams
- Propose ML based solution approaches and estimates for new use cases
- Experience in ML algorithms, NLP, GenAI based solutions
- Supervised, Unsupervised, Reinforcement learning
- Collaborate with data scientists and engineers to support ML model training, evaluation, and deployment.
- Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP
- Apply advanced MLOps practices to streamline model deployment, monitoring, and lifecycle management.
