Primary skills: Technology->Artificial Intelligence->Artificial Intelligence - ALL,Technology->Artificial Intelligence->Computer Vision,Technology->Data Science->Machine Learning

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.
Good knowledge on software configuration management systems
Strong business acumen, strategy and cross-industry thought leadership
Awareness of latest technologies and Industry trends
Logical thinking and problem solving skills along with an ability to collaborate
Two or three industry domain knowledge
Understanding of the financial processes for various types of projects and the various pricing models available
Client Interfacing skills
Knowledge of SDLC and agile methodologies
Project and Team management

AI/ML Engineer

The Opportunity