Proficiency in Python for data processing, automation tasks, and model development.
Strong understanding of ML model training, evaluation, and deployment.
Proficiency in GenAI based solution development.
Strong knowledge of Knowledge of AI services from cloud platforms Azure/AWS/GCP.
Experience in python-based web application for AI-ML use cases 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. Ability to work with clients to identify business challenges and contribute to client deliverables by refining, analyzing, and structuring relevant data
Awareness of latest technologies and trends
Logical thinking and problem solving skills along with an ability to collaborate
Ability to assess the current processes, identify improvement areas and suggest the technology solutions