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Company Description YellowSense Technologies is an innovation-driven company focused on creating meaningful impact for the Next Billion Users through advanced technology. The team leverages Generative AI and predictive analytics to build solutions that are practical, scalable, and accessible. As a small, agile organization, YellowSense offers opportunities to work closely with founders and product teams, influence key technical decisions, and see the direct impact of your work. The company is committed to long-term sustainability, using technology to address real-world challenges in an inclusive and responsible way. Role Description This full-time Senior AI/ML Computer Vision / Image Processing Engineer (Fingerprint Biometrics) role is based in Bengaluru in a hybrid work model, combining on-site collaboration with flexible work-from-home options. The role involves designing, implementing, and optimizing computer vision and image processing algorithms specifically for fingerprint biometrics, from data acquisition to feature extraction and matching. You will develop and train AI/ML models, evaluate their performance, and improve robustness, accuracy, and speed across diverse user and device conditions. Day-to-day responsibilities include working with product and hardware teams to refine requirements, building scalable pipelines for data preprocessing and model deployment, and conducting experiments to enhance biometric security and user experience. You will also review code, mentor team members, document technical designs, and contribute to the overall architecture of YellowSenses AI-powered products. Qualifications Strong expertise in computer vision and image processing, including fingerprint enhancement, feature extraction, and pattern recognition. Hands-on experience with AI/ML techniques such as deep learning, model training, evaluation, and optimization for biometric applications. Proficiency in programming languages commonly used for CV/ML (e.g., Python, C++), and frameworks such as PyTorch, TensorFlow, or similar. Solid understanding of biometric systems, security concepts, and performance metrics (e.g., FAR, FRR, ROC, liveness detection). Experience building end-to-end data and model pipelines, including preprocessing, versioning, deployment, and monitoring. Ability to design experiments, analyze results, and communicate technical findings clearly to both technical and non-technical stakeholders. Background in software engineering best practices, including unit testing, code review, documentation, and agile collaboration. Masters or Bachelors degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. Prior work on edge or mobile deployments, GPU acceleration, or optimization for real-time systems is a strong plus. Comfort working in a small, fast-paced team environment with a focus on innovation, ownership, and continuous learning. .
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.