Senior AI & Machine Learning Engineer – Lead – Architect – Head

Role Overview

• Design, develop, and deploy end-to-end machine learning and deep learning models.
• Build scalable solutions for large-volume data processing.
• Develop and optimize Generative AI applications using LLMs.
• Collaborate with cross-functional teams on use cases in insurance.
• Ensure model performance and monitoring in production environments.

Requirements

• 7 to 15 years of experience in AI & Machine Learning.
• Strong expertise in traditional machine learning and Generative AI (LLMs).
• Proficiency in Python and ML libraries (Scikit-learn, XGBoost, PyTorch/TensorFlow).
• Experience with Generative AI applications and large datasets.
• Strong problem-solving and analytical skills.
• Excellent communication with technical and business stakeholders.

Tech Stack

• Python
• PyTorch
• Scikit-Learn
• Tensorflow

Benefits

• Flexible remote work environment.
• Exposure to global enterprise customers.
• Collaborative, innovation-driven engineering culture.
• Continuous learning and certification opportunities.