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About the Company We are seeking a highly skilled Data Science Engineer with strong expertise in Machine Learning and Generative AI technologies. The ideal candidate will have hands-on experience in designing, developing, deploying, and monitoring machine learning models, along with practical exposure to Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) solutions. About the Role We are seeking a highly skilled Data Science Engineer with strong expertise in Machine Learning and Generative AI technologies. Responsibilities Design, develop, and deploy scalable Machine Learning and Generative AI solutions. Build and optimize end-to-end ML pipelines. Develop and maintain RAG-based applications leveraging LLMs. Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Monitor model performance and implement continuous improvements. Ensure best practices in model governance, deployment, and observability. Qualifications Total experience of 7+ years in Data Science, Machine Learning, or AI-related roles. Minimum 5+ years of hands-on experience in Machine Learning. 6 months to 2 years of practical experience working on Generative AI and LLM-based solutions. Required Skills Strong programming expertise in Python. Strong SQL skills for data analysis and data processing. Experience working with Google Cloud Platform (GCP). Experience in Machine Learning model development, training, validation, deployment, and monitoring. Strong understanding of supervised and unsupervised learning techniques. Experience with ML frameworks and data science libraries. Hands-on experience with Large Language Models (LLMs). Strong understanding of Prompt Engineering techniques. Experience building Retrieval-Augmented Generation (RAG) solutions. Knowledge of vector databases, embeddings, and LLM orchestration frameworks is an added advantage. Preferred Skills Experience with MLOps practices and CI/CD pipelines. Exposure to AI/ML solutions on cloud platforms. Strong problem-solving and analytical skills. Excellent communication and stakeholder management abilities. .
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.