Data Science & AI Intern

0 years

1 - 2 Lacs

Posted:1 month ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Internship

Job Description

Company:

Sententia Research

Website:

Visit Website

Business Type:

Startup

Company Type:

Product

Business Model:

B2B

Funding Stage:

Pre-seed

Industry:

Research and Development

Salary Range:

₹ 1-2 Lacs PAWe are a GenAI and Agent Research company developing intelligent systems that drive measurable business outcomes and improve decision-making through AI agents and generative AI in regulated industries including Tax, Legal, and Manufacturing.

Eligibility

Students pursuing a Bachelor's/Master's in Computer Science, Data Science, AI, or related fields, or recent graduates seeking industry experience.

Duration

3–6 months (extendable based on performance & business need)

Key Responsibilities

  • Develop APIs using FastAPI
  • Collaborate with data engineers and software developers to integrate AI models into production systems
  • Perform data preprocessing, feature engineering, and model evaluation
  • Contribute to technical documentation, code reviews, and best practices
  • Support development of LLM-based AI agents using LangChain
  • Support development of RAG pipelines to enable intelligent data retrieval and knowledge-powered applications
  • Research and explore emerging AI tools, frameworks, and best practices

Required Qualifications

  • Pursuing or recently completed degree in Computer Science, Information Technology, or related field
  • Basic knowledge of front-end technologies: HTML, CSS, JavaScript, React (or similar framework)
  • Strong understanding of Python
  • Understanding of databases (SQL or NoSQL)
  • Experience with version control systems (e.g., Git)
  • Problem-solving mindset, eagerness to learn, and ability to work in a team

Preferred Qualifications

  • Knowledge of AI frameworks (LangChain, LlamaIndex, Haystack, etc.)
  • Experience with Large Language Models (LLMs) and prompt engineering
  • Understanding of RAG pipelines (document embeddings, vector databases like Pinecone, Weaviate, FAISS)
  • Familiarity with cloud services (AWS, Azure, GCP)
  • Knowledge of containerization and deployment (Docker, Kubernetes)

What We Offer

  • Competitive salary and benefits package
  • Opportunity to work on cutting-edge AI projects
  • Collaborative and growth-focused team culture
  • Flexible work arrangements (remote/hybrid options)
  • Professional development budget for courses, certifications, and conferences

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