AI Platform Engineer

Overview

AI Platform Engineer to design, develop, and deploy scalable AI solutions spanning traditional ML and GenAI/LLM use cases.

What you'll do

• Build end-to-end ML solutions for classification, regression, recommendation, forecasting, clustering, anomaly detection, and optimization.
• Perform feature engineering, experimentation, hyperparameter tuning, and model evaluation.
• Design and execute A/B testing and model validation strategies.
• Develop explainable and auditable ML models and monitor performance for retraining support.
• Design and develop LLM-powered applications including RAG systems and agentic workflows.
• Develop production-grade AI services via REST APIs, event-driven architectures, and AWS-based microservices.

What you'll need

• 4-8 years of experience in Machine Learning, Artificial Intelligence, and Generative AI.
• Strong Python experience for production-grade AI/ML applications.
• Experience with AWS services used for AI applications, including Amazon EKS, SNS, SQS, and Lambda.
• Strong hands-on ML skills using Scikit-Learn, XGBoost, LightGBM, and CatBoost.
• Proficiency in SQL for data extraction, transformation, and analysis.
• Practical NLP experience using TensorFlow or PyTorch.

Details

• Location: Chennai.