Senior Machine Learning Engineer / Data Scientist
Core
Design and implement cutting-edge AI and GenAI driven algorithmic components for contextual personalization, predictions, and behavioral insights to personalize digital experiences.
Role type
Senior Machine Learning Engineer (GenAI/Personalization)
Builds
AI agents, agentic workflows, and personalization engines for customer journeys
Domain
E-commerce, Retail, and Digital Marketing
Deliverable
production ML models
Required skills
Python, SQL, Generative AI, LLMs, Machine Learning, Natural Language Processing, Deep Learning, Big Data, Cloud Platforms
Preferred skills
Knowledge Graphs, Semi-supervised learning, Ranking algorithms, Transfer Learning, RNN/LSTM, Transformers
Technologies
PyTorch, Keras, TensorFlow, BigQuery, AWS, GCP, Azure
Responsibilities
Design, develop, and enhance ML/AI models for predictions and contextual personalization; Process historical data, product catalogs, and user behaviors to extract hidden relations and features; Conduct research to explore cutting-edge ML techniques and perform quick POCs; Integrate and scale ML components to production-level handling terabytes of data; Continuously learn and stay updated with state-of-the-art techniques via research papers and conferences
Seniority
Senior, hands-on IC