Data Scientist / AI/ML Engineer / GenAI Engineer (India)

# 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

## Positive-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

• Assessment / Test
• Technical Round
• Technical Round
• Business Head Interview
• HR Round

**Office Hours:** 9:00 AM 6:00 PM

**Interview Availability:** 10:00 AM 5:00 PM

Compensation: 1,500,000.00 - 2,500,000.00 per year

Work Location: In person .