Key Responsibilities AI / ML / LLM Responsibilities

<ul>
<li>Build, test, and optimize applications powered by Large Language Models (LLMs), including proprietary and open‑source models.</li>
</ul>

<ul>
<li style="margin-left:0px;">Perform API integrations with proprietary models (e.g., OpenAI, Anthropic, Gemini, Azure OpenAI, etc.).</li>
</ul>

<ul>
<li style="margin-left:0px;">Execute fine‑tuning, model adaptation, and evaluation of open‑source models (Llama, Mistral, Falcon, etc.).</li>
</ul>

<ul>
<li style="margin-left:0px;">Develop chatbots, agents, and RAG‑based pipelines using LangChain, LangGraph, and asynchronous architectures.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement prompt engineering, prompt optimization, and design of efficient LLM workflows.</li>
</ul>

<ul>
<li style="margin-left:0px;">Apply NLP techniques such as text classification, summarization, entity extraction, embeddings, and vector search.</li>
</ul>

<ul>
<li style="margin-left:0px;">Utilize Redis for caching, rate limiting, session storage, and vector similarity search (Redis Vector).</li>
</ul>

Full‑Stack Development Responsibilities Backend

<ul>
<li style="margin-left:0px;">Build scalable backend services using FastAPI, Node.js, or Python frameworks.</li>
</ul>

<ul>
<li style="margin-left:0px;">Develop secure and optimized REST APIs and async flows.</li>
</ul>

<ul>
<li style="margin-left:0px;">Work with SQL (Postgres, MySQL) and NoSQL (MongoDB, DynamoDB, CosmosDB) databases.</li>
</ul>

Frontend

<ul>
<li style="margin-left:0px;">Develop responsive and modular UI using React.js (or Next.js).</li>
</ul>

<ul>
<li style="margin-left:0px;">Integrate UI with backend and LLM services to build seamless AI-powered user experiences.</li>
</ul>

DevOps &amp; Cloud

<ul>
<li style="margin-left:0px;">Deploy and manage applications on AWS and Azure cloud platforms.</li>
</ul>

<ul>
<li style="margin-left:0px;">Containerize and orchestrate services using Docker and Kubernetes.</li>
</ul>

<ul>
<li style="margin-left:0px;">Implement CI/CD pipelines and monitor production workloads.</li>
</ul>

Required Skills &amp; Competencies AI / LLM Skills

<ul>
<li style="margin-left:0px;">API calls and integrations with proprietary LLMs.</li>
</ul>

<ul>
<li style="margin-left:0px;">Fine‑tuning open‑source models.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience with LangChain, LangGraph, and async architectures.</li>
</ul>

<ul>
<li style="margin-left:0px;">LLM-based project development (chatbots, agents, RAG, automation).</li>
</ul>

<ul>
<li style="margin-left:0px;">NLP model understanding.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong in prompt engineering and optimization techniques.</li>
</ul>

Full‑Stack &amp; Infra

<ul>
<li style="margin-left:0px;">React, HTML, CSS, JavaScript/TypeScript.</li>
</ul>

<ul>
<li style="margin-left:0px;">Python (FastAPI), Node.js (optional), backend frameworks.</li>
</ul>

<ul>
<li style="margin-left:0px;">SQL and NoSQL database design.</li>
</ul>

<ul>
<li style="margin-left:0px;">Redis caching and vector store usage.</li>
</ul>

<ul>
<li style="margin-left:0px;">Docker, Kubernetes, CI/CD pipelines.</li>
</ul>

<ul>
<li style="margin-left:0px;">Cloud services on AWS and Azure.</li>
</ul>

Preferred Qualifications

<ul>
<li style="margin-left:0px;">Experience deploying scalable AI/LLM applications to production.</li>
</ul>

<ul>
<li style="margin-left:0px;">Knowledge of vector databases (FAISS, Pinecone, Chroma) is a plus.</li>
</ul>

<ul>
<li style="margin-left:0px;">Understanding of microservices architecture.</li>
</ul>

<ul>
<li style="margin-left:0px;">Prior experience contributing to LLM or AI‑driven product development.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong debugging, performance tuning, and problem-solving skills.</li>
</ul>

Education

<ul>
<li style="margin-left:0px;">Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field (or equivalent experience).</li>
</ul>

Data Scientist

India

Key Responsibilities AI / ML / LLM Responsibilities Build, test, and optimize applications powered by Large Language Models (LLMs) , including proprietary and open‑source models. Perform API integrations with proprietary models (e.g., OpenAI, Anthropic, Gemini, Azure OpenAI, etc.). Execute fine‑tuning , model adaptation, and evaluation of open‑source models (Llama, Mistral, Falcon, etc.). Develop chatbots, agents, and RAG‑based pipelines using LangChain , LangGraph , and asynchronous architectures . Implement prompt engineering , prompt optimization, and design of efficient LLM workflows. Apply NLP techniques such as text classification, summarization, entity extraction, embeddings, and vector search. Utilize Redis for caching, rate limiting, session storage, and vector similarity search (Redis Vector). Full‑Stack Development Responsibilities Backend Build scalable backend services using FastAPI , Node.js, or Python frameworks. Develop secure and optimized REST APIs and async flows. Work with SQL (Postgres, MySQL) and NoSQL (MongoDB, DynamoDB, CosmosDB) databases. Frontend Develop responsive and modular UI using React.js (or Next.js). Integrate UI with backend and LLM services to build seamless AI-powered user experiences. DevOps &amp; Cloud Deploy and manage applications on AWS and Azure cloud platforms. Containerize and orchestrate services using Docker and Kubernetes . Implement CI/CD pipelines and monitor production workloads. Required Skills &amp; Competencies AI / LLM Skills API calls and integrations with proprietary LLMs. Fine‑tuning open‑source models. Experience with LangChain, LangGraph, and async architectures. LLM-based project development (chatbots, agents, RAG, automation). NLP model understanding. Strong in prompt engineering and optimization techniques. Full‑Stack &amp; Infra React, HTML, CSS, JavaScript/TypeScript. Python (FastAPI), Node.js (optional), backend frameworks. SQL and NoSQL database design. Redis caching and vector store usage. Docker, Kubernetes, CI/CD pipelines. Cloud services on AWS and Azure . Preferred Qualifications Experience deploying scalable AI/LLM applications to production. Knowledge of vector databases (FAISS, Pinecone, Chroma) is a plus. Understanding of microservices architecture. Prior experience contributing to LLM or AI‑driven product development. Strong debugging, performance tuning, and problem-solving skills. Education Bachelor’s or Master’s in Computer Science, Data Science, AI/ML, or related field (or equivalent experience).

Data Scientist · New Delhi

Job highlights

Skillset required

Job Description

Job Description for Data Scientist

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