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DATA SCIENTIST

Vrinda International
Posted 2 days ago, valid for 13 days
Location

Gurugram, Gurugram district, Haryana

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • We are hiring a Data Scientist for our Gurugram, Delhi NCR location, requiring 3-4 years of experience in relevant fields.
  • The position offers a competitive salary of up to ₹25 LPA and involves working from the office with a shift from 9:00 AM to 6:00 PM.
  • Candidates should have strong skills in Python, AI/ML application development, and production AI deployment, among other key competencies.
  • Responsibilities include designing scalable AI systems, developing APIs, and collaborating with engineering and business teams to deliver solutions.
  • The interview process consists of multiple technical assessments followed by a managerial and HR interview.

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





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