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:** 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