About the role
Requirements:
- Strong experience in NLP, Recommender Systems, and Machine Learning algorithms (classification, regression, clustering, Anomaly Detection, pattern recognition techniques, deep learning, embeddings, LLMs/RAG/Agentic AI ).
- Hands-on experience in building ML systems for Search and Personalization use cases.
- Experience designing and deploying ML solutions at large scale (billions of records).
- Experience leveraging parallel processing techniques (multithreading, multiprocessing, distributed computing) to build high-performance, scalable machine learning pipelines and optimise large-scale data processing workloads.
- Familiarity with real-time data streaming technologies such as Kafka, etc.
- Understanding of data governance, fairness, and ethical AI principles.
Preferred Skills:
- Bachelor's degree in computer science or a Master's in Statistics/ Mathematics/ Econometrics or equivalent practical experience.
- Relevant Experience of Min 3-6 years in b building Large Scale ML systems.
- Ability to work independently in a fast-paced, high-impact environment.
- Passion for experimenting with new technologies and building solutions at scale.
- Strong communication (verbal and written), interpersonal, leadership, and problem-solving skills.
- A mindset focused on delivering customer-centric solutions through innovation.