Strong proficiency in Python.
Hands-on experience with:
Understanding of AI system design, evaluation, monitoring, and performance

optimization.
Experience developing, deploying, and maintaining production AI
Robust software engineering fundamentals, including clean code, modular design,

debugging, and testing.
RAG architectures
Experience with machine learning frameworks such as TensorFlow, PyTorch, or

Scikit-learn.
Good understanding of NLP concepts.
Familiarity with API development and integration.
Ability to work independently as well as in collaborative team settings.
Experience with vector databases such as Pinecone, Weaviate, FAISS, ChromaDB.
Knowledge of cloud platforms such as AWS, Azure, or GCP.
Experience with Docker, and deployment pipelines.
Exposure to fintech products, platforms, or domain-specific use cases.

Roles & Responsibilities
Design scalable, reliable AI systems with a focus on production readiness, maintainability, and performance.




Perform root cause analysis and debugging of AI pipelines to improve accuracy, consistency, and reliability.
Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules.
Create and maintain RAG pipelines and AI agent frameworks.
Perform data analysis, model evaluation, and performance optimization.
Develop APIs and integrate AI solutions into existing products and platforms.
Collaborate with cross-functional teams including engineering, and business stakeholders to define AI use cases and deliver solutions.
Monitor, troubleshoot, and continuously improve deployed AI systems

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Advantages:
Provident Fund

Application Question(s):
Current CTC & Notice period?

Work Location: In person

📌 Data Scientist Gurugram
🏢 Dinero Solutions
📍 Gurugram