AI Engineer 4A
Core
Develop, train, and deploy machine learning models and AI agents on structured datasets to solve complex business challenges for global enterprises.
Role type
Machine Learning Engineer (AI/ML Ops)
Builds
Production-ready AI/ML pipelines, models, and agentic AI solutions
Domain
Artificial Intelligence, Machine Learning, Data Engineering
Deliverable
production ML models
Required skills
Python, Machine Learning, Deep Learning, Natural Language Processing (NLP), PyTorch, TensorFlow, Microsoft Azure, AI/ML Ops, AI Agents
Responsibilities
Develop and train ML models on structured datasets; Write production-ready Python code for data preprocessing and feature engineering; Execute analytics work-packets and create reproducible scripts; Collaborate with data engineers to validate data quality; Document model assumptions and performance metrics; Participate in code reviews and deployment; Support exploratory data analysis and proof-of-concept development.