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GenAI Data Science

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Onsite

GenAI Data Science

Quantzig

GenAI Data Science

Skills

Google Cloud PlatformDockerDjangoFlaskPythonData ScienceMicroservicesRedisData AnalysisMachine LearningAIAWSKubernetesNLP / Natural Language ProcessingFastAPIComplianceAzure

9 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

13 October 2026

What they need


QUANTZIG

GenAI Data Science

Analytics Consultant / Senior Analytics Consultant • LLM Applications • RAG

LOCATION

Bangalore, India

WORK MODE

On-site / WFO

EXPERIENCE

3+ Years

EMPLOYMENT

Full-time

ABOUT THE ROLE

Quantzig is hiring Analytics Consultants and Senior Analytics Consultants to design, build, and productionise Generative AI applications for enterprise clients. You will work hands-on with LLMs, RAG architectures, and Python microservices — taking AI-powered search, summarisation, and conversational solutions from prototype through to secure, scalable production deployments.

KEY RESPONSIBILITIES

  • Design, develop, and deploy LLM-powered applications using OpenAI, Azure OpenAI, and Hugging Face frameworks.
  • Build RAG pipelines using embeddings, retrievers, and vector databases such as Pinecone, FAISS, or Weaviate.
  • Implement prompt engineering, fine-tuning, and optimisation for domain-specific use cases.
  • Develop and maintain Python-based microservices using FastAPI, Flask, or Streamlit for AI model integration.
  • Collaborate with data and frontend teams to integrate AI-powered search, summarisation, and conversational assistants into enterprise systems.
  • Ensure data security, scalability, and compliance in AI solutions.
  • Continuously explore the latest AI/ML research, tools, and frameworks to enhance solution performance.

REQUIRED SKILLS & EXPERIENCE

  • Strong experience with LLMs (OpenAI, Azure OpenAI, LangChain, LlamaIndex).
  • Hands-on expertise in RAG architectures and vector databases (Pinecone, FAISS, Weaviate, Redis).
  • Proficiency in Python and frameworks like FastAPI, Flask, or Django.
  • Experience deploying models on cloud platforms (Azure, AWS, GCP).
  • Familiarity with REST APIs, JSON parsing, and data integration workflows.
  • Knowledge of MLOps, Docker, Kubernetes, and CI/CD practices.
  • Strong analytical, problem-solving, and communication skills.

GOOD TO HAVE

  • Experience with observability tools like MLflow, LangSmith, or Weights & Biases.
  • Exposure to voice-based AI assistants or AI narration systems.
  • Prior experience with NLP-driven applications in domains like finance, healthcare, or marketing.
  • Contributions to open-source AI/ML projects.

WHY JOIN QUANTZIG

  • Opportunity to work on cutting-edge Generative AI solutions and enterprise-scale deployments.
  • Collaborative, innovation-driven culture with an AI-first vision.
  • Exposure to end-to-end productisation of LLM-based systems, from prototype to production.

Location note: This is a full-time, work-from-office role based in Bangalore. Candidates should be available to work on-site.

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