# Data Scientist / AI/ML Engineer / GenAI Engineer
company: MCube AI Pvt. Ltd
**Location:** Gurugram, Haryana
**Work Mode:** Onsite
**Employment Type:** Full-Time
**Experience:** 3–4 Years
**CTC:** ₹15–25 LPA
**Notice Period:** 0–30 Days
## About the Role
MCube AI Pvt. Ltd. is looking for a **Data Scientist / AI/ML Engineer / GenAI Engineer** with 3–4 years of experience in building, deploying, and maintaining production-ready AI/ML applications. The ideal candidate should have strong Python and software engineering skills, hands-on experience with RAG architectures, and a good understanding of AI system design, evaluation, and optimization.
## Key Responsibilities
* Design scalable and reliable AI systems with a focus on production readiness, maintainability, and performance.
* Develop, deploy, and maintain production AI/ML applications.
* Build and maintain **RAG pipelines and AI agent frameworks**.
* Design reliable LLM workflows using structured outputs, validation, retrieval, and business rules.
* Perform data analysis, model evaluation, debugging, and performance optimization.
* Develop APIs and integrate AI solutions with existing products and platforms.
* Develop automated evaluation, validation, and testing strategies for AI applications.
* Perform root cause analysis and troubleshoot AI pipelines to improve accuracy, consistency, and reliability.
* Monitor and continuously improve deployed AI systems.
* Collaborate with engineering and business teams to define AI use cases and deliver solutions.
## Must-Have Skills
* 3–4 years of experience in AI/ML application development
* **Strong Python**
* Strong software engineering fundamentals
* AI system design, evaluation, monitoring, and performance optimization
* Production AI application development and deployment
* Clean code, modular design, debugging, and testing
* **RAG Architectures**
* TensorFlow / PyTorch / Scikit-learn
* NLP concepts
* API development and integration
* Ability to work independently and collaboratively
## Good-to-Have Skills
* Vector Databases: **Pinecone, Weaviate, FAISS, ChromaDB**
* Cloud: **AWS, Azure, GCP**
* Docker and deployment pipelines
* FinTech domain experience
## Qualification
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related quantitative field.
## Interview Process
1. Assessment / Test
2. Technical Round
3. Technical Round
4. Business Head Interview
5. HR Round
**Office Hours:** 9:00 AM – 6:00 PM
**Interview Availability:** 10:00 AM – 5:00 PM
Pay: ₹1,500,000.00 - ₹2,500,000.00 per year
Work Location: In person
