Data Engineer

AI/ML Engineer

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