AIML Engineer

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.

Technical and Professional Requirements :

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

Skills Required

Python, Machine Learning, Technology, Artificial Intelligence, Computer Vision