Data Scientist / AI/ML Engineer / GenAI Engineer

# Data Scientist / AI/ML Engineer / GenAI Engineer

company: MCube AI Pvt. Ltd

**Location:** Gurugram, Haryana

**Work Mode:** Onsite

**Employment Type:** Full-Time

**Experience:** 34 Years

**CTC:** 1525 LPA

**Notice Period:** 030 Days

About the Role

MCube AI Pvt. Ltd. is looking for a **Data Scientist / AI/ML Engineer / GenAI Engineer** with 34 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

* 34 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

Bachelors or Masters 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

Compensation: 1,500,[hidden],500,000.00 per year

Work Location: In person .