Senior Data Scientist - Information Retrieval & Generative AI

Techfabric Digital Solutions India; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm is seeking a Senior Data Scientist in the United States to drive innovative solutions in information retrieval and generative AI. You will lead ML product development, work with state-of-the-art RAG architectures, and impact millions of users worldwide. Ideal candidates have advanced Python skills, strong ML/DL experience, and a Master's degree in a related field.

Benefits

Cutting-edge Technology

Global Impact

Career Growth

Innovation Freedom

Qualifications

• 5-7+ years of data science experience with 2+ years in senior roles.
• Demonstrated experience with production ML systems serving millions of users.

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.
• Lead breakthrough research in information retrieval and generative AI.

Skills

Advanced Python programming with pandas, scikit-learn, TensorFlow/PyTorch

SQL & Database Management

Machine Learning & Deep Learning

Statistics & Probability

Education

Masters degree in Computer Science, Statistics, Mathematics

Tools

AWS

Azure

GCP

Docker

Kubernetes

Job description

Senior Data Scientist - Information Retrieval & Generative AI

Location: Remote (India) | Type: Full-time | Experience: 5-7+ years

Transform How the World Discovers Information. Join our AI revolution in transforming how billions discover and interact with information. As a Senior Data Scientist, you’ll architect next-generation search and retrieval systems that power intelligent experiences across our platform, directly impacting millions of users worldwide.

The Challenge

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 sub-second latency. Your models will directly impact product strategy and drive measurable business outcomes for our global user base.

What You'll Do

• Strategic Leadership
  • 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.

What We're Looking For

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).
• A/B testing and experimental design methodology.

Education & Experience

• Masters degree in Computer Science, Statistics, Mathematics, or related quantitative field.
• Demonstrated experience with production ML systems serving millions of users.
• Strong publication record or open-source contributions (preferred).

Why Join Us

• Cutting-edge Technology: Work with the latest in AI/ML, from transformer architectures to vector databases.
• Global Impact: Your work will be used by millions of users across different continents.
• Career Growth: Clear advancement paths with mentorship and leadership opportunities.
• Innovation Freedom: 20% time for personal research projects and experimentation.

Our Interview Process

1. Recruiter Screen (30 min) - Background, motivation, and culture fit.
2. Technical Screen (60 min) - Live coding in Python/SQL, ML fundamentals.
3. Technical Deep Dive (90 min) - Advanced ML/AI questions, system design.

Ready to Shape the Future of AI?

If you're passionate about pushing the boundaries of information retrieval and generative AI, we want to hear from you. Join a team where your expertise will drive innovation and create meaningful impact on a global scale. Apply now and help us build the next generation of intelligent search and discovery systems.

Send in your resume to Mr.Praveen at [e-mail]

We are an equal opportunity employer committed to diversity and inclusion. We welcome applications from all qualified candidates regardless of race, gender, age, religion, sexual orientation, or disability status.

Application Requirements

• Resume/CV highlighting relevant ML/AI experience.
• Cover letter explaining your interest in information retrieval and generative AI.
• Links to relevant projects, publications, or GitHub repositories (preferred).
• Portfolio demonstrating production ML systems or research contributions.