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 positive 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

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