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- Accelerated growth path. - Opportunity to work in cutting edge technologies. About Our Client The organisation operates in the software industry, specialising in analytics within the technology and telecoms sector. Job Description - Lead AI Research Scientist (Computer Vision) to architect and scale our next-generation multimodal systems. This is not a standard model-wrapper role; we are looking for a first-principles researcher who can design, pre-train, and fine-tune custom Vision Language Models (VLMs) and advanced computer vision architectures to solve complex, unstructured data extraction and spatial reasoning challenges at scale. The Successful Applicant We're Looking For Someone Who Has - Architectural Ownership: Design, train, and deploy bespoke Computer Vision models, VLMs, and multimodal architectures (e.g., Vision Transformers, Diffusion models, Cross-attention mechanisms) tailored to highly specific domain constraints. - Applied SOTA Research: Lead the translation of cutting-edge academic research into production-ready IP. Drive initiatives in zero-shot/few-shot learning, open-vocabulary object detection, and document/scene understanding. - Performance Engineering & Optimization: Optimize model inference latency and throughput. Implement advanced techniques such as quantization (INT8/FP8), knowledge distillation, model pruning, and FlashAttention to ensure models run efficiently within our cloud infrastructure (AWS) and FastAPI backends. What's On Offer - A permanent role in the technology and telecoms industry - Opportunities to work on innovative software solutions - Chances to grow your skills in analytics and computer vision - A collaborative and supportive work setting If this role interests you, please consider applying. Contact Quote job ref: JN-072026-7060647 .
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.