Vrinda International
DATA SCIENTIST
Gurugram, Delhi NCR, INPresencialContratoTempo integral
Publicado 16 de set. de 2026
Esta vaga foi publicada em EN
WE ARE HIRING | DATA SCIENTIST
Location: Gurugram, Delhi NCR
Experience: 3–4 Years | Relevant Data Scientist experience: 3+ Years
CTC: Up to ₹25 LPA
Work Mode: Work From Office
Shift: 9:00 AM – 6:00 PM
Notice Period: Immediate to 15 Days Only
We are looking for Data Scientists with strong Python, AI/ML and production AI application experience.
KEY SKILLS:
- Strong Python & software engineering fundamentals
- AI/ML application development
- RAG architectures & LLM workflows
- AI system design, evaluation & monitoring
- Production AI deployment & maintenance
- TensorFlow / PyTorch / Scikit-learn
- NLP concepts
- API development & integration
- Debugging, testing & performance optimization
GOOD TO HAVE:
- Vector Databases: Pinecone, Weaviate, FAISS, ChromaDB
- AWS / Azure / GCP
- Docker & deployment pipelines
- Fintech domain experience
KEY RESPONSIBILITIES:
- Design scalable, reliable and production-ready AI systems
- Build and maintain RAG pipelines and AI agent frameworks
- Develop reliable LLM workflows using retrieval, validation and business rules
- Perform model evaluation, data analysis and performance optimization
- Develop APIs and integrate AI solutions with existing platforms
- Conduct root-cause analysis and improve AI pipeline accuracy and reliability
- Monitor, troubleshoot and continuously improve deployed AI systems
- Collaborate with engineering and business teams to deliver AI solutions
INTERVIEW PROCESS:
L1 – Technical Assessment
L2 – Technical Round
L3 – Technical Round
L4 – Managerial + HR Interview
Resumo da função
Tipo de vaga
Tempo integral
Competências necessárias
Python programmingSoftware engineering fundamentalsAI/ML application developmentRAG architecture designLLM workflow developmentAI system designModel evaluation & performance optimizationProduction deployment & maintenance of AI systemsTensorFlow / PyTorch / Scikit-learnNLP conceptsAPI development & integrationVector databases (Pinecone, Weaviate, FAISS, ChromaDB)Cloud platforms (AWS / Azure / GCP)Docker & deployment pipelinesCross-functional collaboration (engineering & business teams)
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