Senior Data Scientist

Experience: 8+ yrs

Shift: 4 AM to 1 PM

Senior Data Scientist - Information Retrieval & Generative AI

Experience: 5+ years

Design and deploy state-of-the-art RAG architectures processing petabyte-scale datasets.

Build hybrid dense/sparse retrieval pipelines that serve millions of daily queries with subsecond

latency.

Your models will directly impact product strategy and drive measurable business outcomes for our

global user base.

Responsibilities:

• Drive end-to-end ML product development from research to production deployment

• Collaborate with engineering and product teams to translate business requirements

into scalable data solutions

• Mentor junior data scientists and establish best practices for model development

• Lead breakthrough research in information retrieval and generative AI

Technical Execution

• Design and optimize transformer-based architectures for information retrieval and

generation

• Implement advanced chunking strategies for semantic search and RAG applications

• Build and maintain real-time ML pipelines processing millions of documents

• Develop production-ready models with proper monitoring, versioning, and

deployment strategies

Innovation & Research

• Research and prototype cutting-edge AI techniques in search, retrieval, and natural

language processing

• Design large-scale experiments and A/B tests to validate model performance and

business impact

• Stay current with latest developments in GenAI and contribute to open-source

communities

• Present findings to executive leadership and influence strategic product decisions

Essential Skills

• Advanced Python Programming with expertise in pandas, scikit-learn,

TensorFlow/PyTorch

• SQL & Database Management for complex query optimization and data pipeline

design

• Machine Learning & Deep Learning with track record of shipping ML products to

production

• Statistics & Probability including advanced statistical modeling and hypothesis

testing

• 5-7+ years of data science experience with 2+ years in senior roles

Specialized Expertise

• Information Retrieval Systems - Search algorithms, ranking, and relevance

optimization

• Generative AI & LLMs - Prompt engineering, fine-tuning, and deployment at scale

• Content Chunking Strategies - Document processing and semantic segmentation

for RAG systems

• Vector Databases - Hands-on experience with Pinecone, Weaviate, FAISS, or

OpenSearch

• Transformer Models - Deep understanding of BERT, GPT, T5 architectures

Advanced Technical Skills

• RAG (Retrieval-Augmented Generation) implementation and optimization

• Named Entity Recognition (NER) at enterprise scale

• Cloud platforms (AWS, Azure, GCP) for ML deployment

• MLOps tools and practices (Docker, Kubernetes, model registries)