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 environments.
- 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

Benefits:
- Provident Fund

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

Work Location: In person

📌 Data Scientist (Gurugram)
🏢 Dinero Solutions
📍 Gurugram