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Experience: 1-3 Years ONLY Location: Pune About the Role We are looking for a Data Scientist / AI-ML Engineer with hands-on experience in Python, Machine Learning, Generative AI and API integration. You will work on integrating AI/ML solutions into an existing React.js + Node.js application, so this role requires both AI/ML knowledge and practical software development experience. Key Skills Python, Machine Learning & AI Generative AI, LLMs, RAG & Embeddings OpenAI / Gemini / Claude APIs FastAPI / Flask / REST APIs Node.js & Express.js React.js & API integration SQL / PostgreSQL / MongoDB Vector Databases - FAISS / ChromaDB / Qdrant / Pinecone LangChain / LangGraph / LlamaIndex Docker & Cloud platforms AI/ML deployment and production integration What You'll Do Build and integrate ML, AI and GenAI solutions into existing applications. Develop Python-based AI/ML APIs using FastAPI or similar frameworks. Work with LLMs, RAG, embeddings and AI agents. Integrate AI services with Node.js backend and React.js frontend. Work with databases and vector databases. Develop, test, debug and deploy production-ready AI solutions. Collaborate with developers to add AI capabilities to existing software. Important You have more than 3 years of experience. You only have theoretical/academic ML experience. You do not have hands-on Python + AI/ML development experience. You have no experience integrating AI/ML solutions with software applications. Interest in social impact, child welfare, and working within a nonprofit environment; prior experience in social sector analytics is an advantage. .
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.