Senior Data Scientist

3 weeks ago

Delhi, Delhi, India MindBrain Full time

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).

(ref:hirist.tech)

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