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# 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 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: 1,500,000.00 - 2,500,000.00 per year Work Location: In person .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.