Job Details: Educational Qualifications: Engineering graduate (B.E/B.Tech, M.E/M.Tech, MCA, etc.). Experience: 4.5 to 9 Years. Notice Period: Immediate to 15 days. Location: Bangalore. Role & responsibilities Strong knowledge of Android Architecture with experience in Java and C/C++. Working experience in Android Generic Frameworks. Hands-on experience with GIT/Gerrit and resolving conflicts while applying AOSP patches. Proficiency in analyzing ANRs, tombstones, and system crashes. Experience with analyzing Google compliance issues (STS, CTS, GTS, VTS). Hands-on experience with JIRA. Expertise in Binder IPC, Manager Service, System Services, AOSP customization, and custom ROM development .
Role & responsibilities Soldering, PCB testing, PCB Assembly, Hardware testing Preferred candidate profile
Role & responsibilities: Develop and implement algorithms for filtering, denoising, and feature extraction from time-series, or sensor signals. Apply advanced techniques such as FFT, wavelet transforms, adaptive filtering, and statistical signal analysis. Work with multi-rate and multi-modal data streams, ensuring synchronization and alignment.
Role & responsibilities Approach potential customers through phone calls, emails, or in-person meetings Learn and understand product/service features and communicate benefits clearly Assist senior sales staff in creating proposals and presentations Follow up with leads and maintain accurate records in the CRM system Support the team in reaching monthly and quarterly sales targets Participate in regular sales training and mentorship sessions Gather market and customer information to support sales strategy Preferred candidate profile Bachelors degree in Business, Marketing, or any relevant field (0-1yr) Good communication and interpersonal skills Basic understanding of sales principles or a willingness to learn quickly Strong work ethic and a goal-oriented attitude Ability to work independently and as part of a team Proficiency in Microsoft Office and willingness to learn CRM tools
Role & responsibilities Design, train, and deploy AI/ML models (e.g., deep learning, ensemble methods, statistical models) tailored for signal-based datasets. Perform feature engineering, dimensionality reduction, and transformation for improved model performance. Apply AI for classification, prediction, anomaly detection, and pattern recognition in signal data.