- 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 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.