AI/ML Engineer

Job description

**Educational Requirements** Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Engineering,Master Of Technology,Master Of Science,Master Of Comp. Applications **Service Line** Engineering Services **Responsibilities** 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. **Additional Responsibilities:** - 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