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Requested skills Technical Skills : • Minimum 5 years of experience in Python development with an AI/ML focus • Proven experience in vibe coding with productive use of AI tools (GitHub Copilot, Cursor, Claude, ChatGPT) • Expertise in ML/DL frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain • Confirmed experience with LLMs (fine-tuning, prompt engineering, RAG, agents) • Proficiency with Cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) • Knowledge of MLOps technologies and CI/CD pipelines for AI models • Skills in data engineering (preprocessing, feature engineering, data pipelines) • Proficiency in databases (SQL, NoSQL, Vector DBs) • Experience in API development (FastAPI, Flask, REST) • Good knowledge of containerisation (Docker, Kubernetes) • Expertise in testing and code quality (pytest, unittest, code coverage) • Knowledge of version control tools (Git, GitLab/GitHub) • Nice to have: Experience in Computer Vision and/or NLP Expected deliverables • Participation in workshops with IT/business teams and Data Scientists • Development and optimisation of AI/ML models for business use cases • Integration and deployment of models in production (APIs, microservices) • Expert use of vibe coding to accelerate development without compromising quality • Implementation of MLOps pipelines (training, versioning, monitoring) • Automated testing and validation of models (performance, robustness, bias) • Detailed technical documentation (code, models, APIs, reusable prompts) • Performance optimisation (latency, costs, scalability) • Technology watch and recommendations on new AI techniques • Sharing of vibe coding best practices with the tea
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.