Applied AI/ML Engineer

Key Responsibilities:
Develop and deploy AI models to improve customer personalization.
Collaborate with Data Analytics & Development teams to integrate AI models into production.
Work on clustering, segmentation, and predictive analytics.
Implement AIOps for AI performance monitoring and MTTR reduction.
Ensure data readiness and quality for AI/ML models.
Must Have Skills:
7+ years of experience in deploying AI/ML models.
Proficiency in TensorFlow, PyTorch, and scikit-learn.
Experience with data pipelines, Kafka, and real-time data processing.
Strong Python skills for AI/ML development.
Expertise in cloud-native AI/ML platforms (AWS SageMaker is a plus).
If you are passionate about AI/ML and ready to drive personalization at scale, apply now