
AIML Engineer
2 weeks ago
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
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