Data Scientist

We are looking for a Data Scientist to develop, maintain, and improve recommendation and personalization AI model. You will own the full ML lifecycle—from data exploration and model development to deployment and monitoring—ensuring scalable, production-ready solutions that drive customer impact.

Responsibilities:

Develop and maintain current AI models (recommendation models, LLM based applications) and respective pipelines.

Improve performance and reliability of production systems.

Collaborate with product managers to identify use cases and deliver POCs.

Apply MLOps best practices for deployment, monitoring, and maintenance of system.

Perform ad-hoc data analysis and visualization to inform decisions.

Required Skills:

Strong Python skills and production-quality coding experience.

Practical Deep Learning Experience (Computer Vision, NLP)

PyTorch, Scikit-learn, TensorFlow

Proficiency in MLOps, CI/CD in GCP (Vertex AI).

Git and version control proficiency

Strong SQL skills

Practical experience in Recommendation and Personalization Systems

Experience with LLMs (prompt engineering, RAG, LangChain, LangGraph, Vector Databases).

Hands-on experience with Docker, Kubernetes,

Hands-on experience on developing REST APIs.

Experience with Reids

Experience with DBT

Experience with Agile ways of working and collaboration in cross-functional teams.