3+ Speech recognition Jobs in Hyderabad | Speech recognition Job openings in Hyderabad

Job Description

Qualified applicants with experience in the following role or comparable job titles are encouraged to apply:

• Audio AI Engineer
• Speech AI Engineer
• Audio Software Engineer
• Speech Processing Engineer
• Audio Machine Learning Engineer
• Machine Learning Engineer – Speech
• AI Engineer – Audio
• Speech Processing Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• Speech Recognition Engineer
• ASR Engineer
• Automatic Speech Recognition Engineer
• Voice AI Engineer
• Speech Scientist
• Audio Research Engineer
• Audio Systems Engineer
• Audio Software Engineer
• Audio R&D Engineer
• Speech Research Engineer
• Audio DSP Engineer
• Voice Processing Engineer
• Acoustic AI Engineer
• Research Engineer – Speech AI
• Research Scientist – Speech
• AI Engineer – Speech
• AI Engineer – Audio

Requirement:

a) Working on Design, Development, testing and deployment of different speech enhancement products using frameworks like PyTorch and TensorFlow.

b) Working on enhancing existing speech enhancement products w.r.t

performance, low latency and less computation.

c) Work on improvement of adapting the model to multi channels.

d) Should be self-motivated to learn and explore new areas and able to work independently and contribute

Experience

a) Good understanding of signal processing and machine learning.

b) Hands-on experience with Deep Learning techniques like CNNs, RNNs, LSTMs, Transformers, etc., for speech processing is essential.

c) Good understanding of: Linear algebra, Optimization techniques, Statistics and pattern recognition

d) Minimum 3 years of work experience in the Audio/Speech domain

e) Good programming skills in C/C++, Python, AI/ML frameworks.

Qualification

Bachelor's / Master’s Degree from AI/ML, CSE, ECE, or PhD

Lead Mobile Engineer - Android & iOS, AI-Native Healthcare Apps

📍 Location: Hyderabad, India

📍 Work Type: Full-Time | On-site / Hybrid

📍 Experience: 5–7 Years

Role Overview

Lead design, development, and delivery of mobile apps across Android and iOS. Own architecture, quality, and mobile engineering practice. Integrate Voice AI, conversational AI, and real-time features into patient-facing healthcare applications.

Key Responsibilities

Mobile Architecture & Delivery

•    Lead architecture and development of native or cross-platform mobile apps (Android & iOS)

•    Set technical direction, coding standards, and best practices for mobile

•    Deliver performant, polished, accessible mobile experiences at scale

•    Own app release process: app store submissions, versioning, mobile CI/CD

AI & Real-Time Integration

•    Integrate Voice AI, conversational AI, and LLM-powered features into mobile

•    Build real-time patient engagement experiences (streaming, push, WebSockets)

•    Collaborate with backend, product, and design on cohesive AI experiences

Quality & SDLC

•    Monitor app performance, crashes, and user feedback; drive continuous improvement

•    Champion mobile SDLC practices: testing, CI/CD, code review, release management

•    Leverage AI coding tools (Cursor, Copilot, Claude Code) to increase velocity

Leadership & Mentorship

•    Mentor and guide mobile engineers; conduct technical reviews

•    Own mobile engineering standards and drive architectural decisions

Requirements

•    5–7 years mobile development (Android & iOS)

•    Strong native expertise: Kotlin/Java (Android) and/or Swift (iOS)

•    OR cross-platform expertise: React Native or Flutter

•    Proven mobile architecture and technical decision leadership

•    Deep mobile performance, offline support, and security knowledge

•    Full app release lifecycle and store guidelines experience

•    Track record mentoring engineers and leading delivery

•    API integration and mobile-backend communication expertise

•    Strong ownership mindset and AI-first working style

Nice-to-Have

•    AI/LLM or conversational AI features in mobile apps

•    Video stack experience: streaming, recording, real-time communication (WebRTC)

•    Real-time/streaming and push notification systems at scale

•    Mobile open-source contributions or published apps at scale

•    Healthcare technology or health-tech startup experience

Why this opportunity?

•    Build infrastructure and products powering real-world healthcare AI

•    Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)

•    Mission-driven impact — improve patient outcomes and save thousands of staff hours

•    High ownership, rapid learning, and significant career upside

•    Global collaboration across India and the US

•    Seed-stage growth — scale from Seed to Series A alongside the team

• Ensuring the success of new AI products by focusing on scalability, potential biases, and compliance.
• Perform gap analysis on existing business data. Identify new data points.
• Developing business cases for AI in new and existing products.
• Work with executives and business line stakeholders to define the problems to solve with AI.
• Help prioritise and rank the solutions, develop business cases.
• Work closely with UI/UX, engineering and cross-functional teams to deliver with quick time-to-market and optimal products.
• Formulating product requirements and identifying new opportunities with the help of customer feedback, market analysis, and usability studies.
• Drive product launches including working with public relations team, executives, and other product management team members.

• “Problem solving with AI” mindset.
• Proven work experience in product management as an Associate Product/Product Manager.
• Knowledge and experience with Machine Learning and different Voice & Speech AI concepts such as neural networks, natural language processing, speech-to-text conversion clustering techniques, etc.
• Experience defining and developing a new product or service.
• Proven ability to develop product and marketing strategies and effectively communicate recommendations to executive management .
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Skilled at working effectively with cross functional teams in a matrix organisation.
• MS/BS degree in Computer Science, Engineering or equivalent preferred.