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Job Title: Senior Developer AI Lead location -Pune Experience- 5 to 12 yrs About Role We are seeking a highly skilled Data Scientist with strong expertise in AI/ML, Generative AI, and LLM-based solutions. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-driven applications using modern tools and frameworks. This role requires hands-on experience in building production-ready machine learning systems and working in a collaborative Agile environment. Key Responsibilities:- Design, develop, and deploy AI/ML solutions using Python. Build and integrate Generative AI applications using OpenAI APIs and LLM-based workflows. Implement Retrieval-Augmented Generation (RAG) solutions for intelligent information retrieval. Develop interactive AI applications and prototypes using Streamlit. Utilize Snowflake for data processing, analytics, and feature engineering. Design and maintain scalable, production-grade ML pipelines. Collaborate with product, data engineering, and business teams to deliver AI solutions. Optimize model performance, cost efficiency, and system reliability. Support deployment, monitoring, and continuous improvement of AI/ML applications. Contribute to AI architecture design and best practices within the organization. Required Skills & Qualifications 5+ years of experience in Python development. Strong hands-on experience with OpenAI APIs and prompt engineering. Working knowledge of Snowflake (basic to intermediate level). Experience in building applications using Streamlit. Solid understanding of Machine Learning concepts and data pipelines. Strong knowledge of RAG (Retrieval-Augmented Generation) and Generative AI concepts. Experience with CI/CD pipelines and application deployment. Exposure to working in Agile development environments. Bachelors or Masters degree in Computer Science, Data Science, Engineering .
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.