Embedded Systems Engineer Voice & Machine Learning Applications

Vayuz Technologies

Bengaluru

0-1 Years

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Posted 4 hours ago
Over 500 applicants

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Job Description

Job Summary

we are looking for a passionate embedded systems engineer with strong experience in voice and machine learning applications. the role involves developing and optimizing embedded software, implementing dsp algorithms, and deploying ml models on resource-constrained hardware platforms.

Key Responsibilities

develop and optimize embedded software using c and rtos like freertos
perform board bring-up and hardware-software integration for embedded platforms
implement dsp/isp algorithms with a focus on low-power and real-time performance
port and deploy ml models using tensorflow lite micro or pytorch on embedded devices
optimize models for size and performance using quantization and pruning techniques
debug and optimize multicore applications using npus where applicable
write and maintain linker scripts for gcc, iar, and arm toolchains
develop voice-based ml features such as keyword spotting and speech recognition
collaborate with cross-functional teams for hardware, firmware, and ml integration

More Info

Job Type:

Permanent Job

Industry:

Consulting

Role:

Systems Engineer

Function:

Employment Type:

Full time

Open to candidates from:

Indian

About Company

Vayuz Technologies

We are an Engineering company with leading capabilities in Digital Transformation, Internet-related services and products, Data Science, Development Operations, Product as a Service, Technology Consulting, and Software Engineering. We are trusted by NSE giants as a digital transformation partner and have a proven track record in providing customized digital solutions across industry segments. To know more visit us at www.vayuz.com VAYUZ DNA: We believe that great products require a product-thinking DNA. Our approach starts with putting the customer first and runs through everything we do—from the development process to the product design methodology, every line of code we write, and the way our team collaborates with clients. This strong foundation allows us to deliver innovative, scalable, and robust technology solutions. Key Mantras: - Respect TIME: We value time and are committed to delivering on our promises. - PLAN Well: Detailed planning is the cornerstone of our high-quality delivery. - Deliver QUALITY: Excellence in every deliverable is non-negotiable. Core Offerings: - Cloud: Migration, infrastructure management, SaaS, PaaS, IaaS. - Data: Analytics, BI tools, predictive analytics, data-driven decisions. - AI/ML: Automation, models, NLP. - Digital Workplace: Remote work, virtual desktops, employee experience. - IoT: Connected devices, analytics, smart infrastructure. - Mobile/Web: Custom apps, PWAs, mobile-first design. - Legacy Modernization: Upgrades, refactoring, integration. - DevOps/Agile: Implementation, methodology for faster delivery.

Job ID: 122415795

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