Ml engineer signal processing / Jobs

Machine Learning Engineer, Dubbing
Sarvam —Bengaluru, Karnataka
- Full-time
- Machine learning
- Python
Quick apply
Embedded Systems Engineer (0–2 Years)
Eurth Techtronics —Hyderabad, Telangana
- Email
- Computer Science
- Master's degree
- C++
AI Engineer
Hyland —Hyderabad, Telangana
- Full-time
- Master's degree
- Bachelor's degree
- Organizational skills
3h
Embedded ML Engineer – Edge Accelerator
Eurth Techtronics —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- C++
PCB Layout Engineer
Eurth Techtronics —Hyderabad, Telangana
- Email
- Schematics
- Master's degree
- Assembly
Audio Systems Algorithm Development Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
7d
Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Salesforce
- Engineering
Quick apply
4d
AVP - Data & ML Platform
Weekday —Mumbai, Maharashtra
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
1d
Machine Learning Systems Engineer
Tether Operations Limited —Bengaluru, Karnataka
- Email
- Remote
- Azure
- Computer Science
- System design
Staff ML Engineer
Buildkite —Panznor, Jammu and Kashmir
- SQL
- AWS
- Machine learning
Senior Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Azure
- Computer Science
- Master's degree
Quick apply
22h
Audio Senior Engineer
Qualcomm —Hyderabad, Telangana
- Computer science
- Doctoral degree
- Engineering
Software Development Engineer
BioGenex Life Sciences Pvt Ltd —Adibatla, Telangana
- Full-time
- Azure
- Computer Science
- DevOps
- Commuter assistance
- Health insurance
Quick apply
Lead - Data & Ml Platform
Weekday —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
1d
Machine learning and AI Engineer
Megdap Innovation Labs —Pune, Maharashtra
- Email
- Azure
- Computer Science
- Java
Senior Machine Learning Engineer, Synthetic Data & Document Understanding
ABBYY —Bengaluru, Karnataka
- Remote
- Doctoral degree
- Computer Science
- Master's degree
- Health insurance
- Paid time off
Quick apply
Advanced Engineer – Automotive Data Engineering
Harman International —Bengaluru, Karnataka
- Azure
- Computer Science
- English
1d
Senior AI Engineer
Statistics & Data Corporation (SDC) —Hyderabad, Telangana
- Hybrid work
- Azure
- Computer Science
- Master's degree
- Paid time off
- Flexible schedule
Quick apply
5d
Staff Backend Engineer
Coupang —Bengaluru, Karnataka
- Hybrid work
- System design
- Java
- Master's degree
- Work from home
Quick apply
R&D Engineer 4, Software
Keysight Technologies, Inc. —Gurugram, Haryana
- Part-time
- Remote
- Computer Science
- Data analysis skills
- Master's degree

I want to receive the latest job alerts for ml engineer signal processing /

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer signal processing / jobs near

Machine Learning Engineer jobs in Bengaluru, Karnataka

Senior Data Scientist jobs in Delhi, Delhi

Ai Ml Engineer jobs in Hyderabad, Telangana

Assistant Vice President jobs in Mumbai, Maharashtra

Audio Engineer jobs in Hyderabad, Telangana

Lead Data Architect jobs in Bengaluru, Karnataka

Data Engineer jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Pune, Maharashtra

Back End Developer jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Noida, Uttar Pradesh

Xylem Learning jobs in Calicut, Kerala

Machine Learning Engineer jobs in Chhattisgarh

Machine Learning Engineer jobs in Raipur, Chhattisgarh

Machine Learning Engineer jobs in Hyderabad G.p.o., Hyderabad, Telangana

Milling Machine jobs in Bhosari, Pune, Maharashtra

Chemical Engineer jobs in Chandigarh, Chandigarh

Ai Developer jobs in Noida, Uttar Pradesh

Healthcare Ai jobs in Mumbai, Maharashtra

Ai Developer jobs in Delhi, Delhi

Front End Developer jobs in Kanpur, Uttar Pradesh

Machine Learning Engineer, Dubbing

Sarvam
Bengaluru, Karnataka

Quick apply

Job details

Full-time

Qualifications

Signal processing
Multilingual
Git
Quality assurance
Machine learning
GitHub
Python
Debugging

Full job description

About Sarvam

Sarvam is building the bedrock of Sovereign AI for India. The company is developing India’s full-stack sovereign AI platform, building across research, models, infrastructure and applications with a singular focus on making AI genuinely work for India. Sarvam works with leading enterprises and public institutions and is backed by Lightspeed, Peak XV, and Khosla Ventures. Sarvam partners with India’s leading brands, including Tata Capital, SBI Life, CRED, IDFC, and LIC.

About the Role

You will own the ML integration layer for Sarvam’s dubbing and live translation products — building production pipelines that connect ASR, translation, TTS, and voice cloning into seamless end-to-end systems. The scope spans offline video dubbing (batch processing across 12+ Indian languages) and real-time speech-to-speech translation in multi-participant environments where latency budgets are measured in hundreds of milliseconds. The team’s roadmap evolves with the field; we want engineers who are comfortable with that.

What You’ll Do

Build and optimise the real-time speech-to-speech translation pipeline — streaming ASR with server-side VAD, low-latency translation, and TTS synthesis delivered as live audio streams
Design fan-out architectures where a single ASR stream serves multiple concurrent listeners, each receiving personalised translated audio
Implement voice cloning in streaming and batch contexts — reference audio selection heuristics, handling short vs. long utterances, and maintaining speaker identity across a session
Optimise end-to-end latency across the ASR translation TTS chain, including transcript buffering, segmentation strategies, and flush timing for continuous speech
Integrate ML pipelines with real-time media infrastructure (WebRTC, RTMP, SRT) for live broadcast and conferencing use cases
Own the automated QC loop — designing multi-stage verification pipelines that catch and correct quality issues before delivery
Build evaluation harnesses for speech quality — WER/CER tracking, tempo analysis, pronunciation verification, and automated QC scoring
Optimise inference pipelines — quantisation, batching strategies, model server configuration, and runtime acceleration for VAD and vocal separation
Design and maintain audio data pipelines — segment extraction, filtering, deduplication, and quality assurance
Build robust integrations across multiple ASR, TTS, and translation backends — managing fallbacks, retries, and quality routing
Debug and improve deployed speech systems — latency, audio artifacts, code-mixed content, regional dialect handling, and edge cases in production
Translate real-world dubbing problems (timing preservation, naturalness, register matching, multi-speaker scenarios) into well-scoped ML tasks with the right data and evaluation strategy

What We’re Looking For

Strong Python and PyTorch — comfortable reading model internals, profiling inference, and debugging production failures
Hands-on experience integrating and optimising speech models (ASR or TTS) in production environments
Experience with real-time/streaming systems — WebSocket pipelines, chunked audio processing, or latency-sensitive async architectures
Solid understanding of modern speech system architectures — sequence-to-sequence models, attention mechanisms, flow-matching or diffusion-based TTS, streaming ASR
Familiarity with model serving infrastructure — Triton, TorchServe, ONNX Runtime, or equivalent
Experience with audio signal processing fundamentals: sample rates, PCM formats, spectrograms, vocoding, time-stretching
Strong async Python skills — asyncio, concurrent pipelines, managing backpressure in streaming systems
Comfort with ambiguity — the roadmap is not fully pre-specified
Undergraduate degree in a technical discipline (CS, EE, statistics, physics, or equivalent)

Bonus Points

Experience with multilingual or Indic speech systems — handling code-mixing, transliteration, tonal variation across Indian languages
Voice cloning or speaker adaptation techniques (zero-shot or few-shot) in production
Experience with real-time media protocols — WebRTC, RTMP, SRT, HLS, or real-time audio agent frameworks
Multi-participant audio systems — speaker diarization, concurrent pipeline management, per-user audio routing
Vocal source separation or speech enhancement techniques
Familiarity with FFmpeg, GStreamer, or media muxing/demuxing
Contributions to open-source speech/audio projects or a solid GitHub portfolio

Why Sarvam?

Sarvam is a fast-moving, high talent-density team building full-stack AI for India, working on problems that push the frontiers of AI with real population-scale impact.

Work alongside researchers, engineers, builders, and business leaders who move fast and hold each other to a very high bar
High ownership and high impact, from day one
Everything we do is AI-first, from the way we build and ship to the way we think about problems
You can work on problems that could change how an entire country learns, works, and communicates

If you want to work on problems at the frontier of AI in India, Sarvam is the place to be.

Quick apply

Refine Your Search

Machine Learning Engineer, Dubbing

Embedded Systems Engineer (0–2 Years)

AI Engineer

Embedded ML Engineer – Edge Accelerator

PCB Layout Engineer

Audio Systems Algorithm Development Engineer

Senior Data Scientist — Manufacturing & Process AI

AVP - Data & ML Platform

Machine Learning Systems Engineer

Staff ML Engineer

Senior Machine Learning Engineer

Audio Senior Engineer

Software Development Engineer

Lead - Data & Ml Platform

Machine learning and AI Engineer

Senior Machine Learning Engineer, Synthetic Data & Document Understanding

Advanced Engineer – Automotive Data Engineering

Senior AI Engineer

Staff Backend Engineer

R&D Engineer 4, Software

I want to receive the latest job alerts for ml engineer signal processing /

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected