Bangalore City Bengaluru Karnataka Speech language Jobs – 150 Open Jobs Today

Applied Scientist III, Alexa International
ADCI - Karnataka —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Research
- Master's degree
AI / ML Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Machine learning
Applied Scientist, Alexa Edge AI
ADCI - BLR 14 SEZ —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Java
- Master's degree
Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)
Level AI —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- Machine learning
Quick apply
Motion Designer
Sarvam —Bengaluru, Karnataka
- Full-time
- JavaScript
- AI
Quick apply
10d
Lead AI Engineer
Digital Green —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Quick apply
9d
Speech Architect
Capgemini Sogeti —Bengaluru, Karnataka
- DevOps
- Java
- Master's degree
Speech Architect
Capgemini —Bengaluru, Karnataka
- DevOps
- Java
- Master's degree
AI Delivery Manager - Revenue Cycle Management (RCM)
2070Health —Bengaluru, Karnataka
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
- Health insurance
Quick apply
AIML Solution Architect
Cognizant —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Data Science - Lead Data Scientist (Voice+Text)
Paytm —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
AI/ML Computational Science Specialist
Accenture —Bengaluru, Karnataka
- Full-time
- Analysis skills
- Machine learning
- AI
ML Developer — Surveillance Detection Models
Lister Digital —Bengaluru, Karnataka
- Full-time
- Azure
- Doctoral degree
- Computer Science
Software Engineer, AI/ML, PhD, Early Career, 2026
Google —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- System design
AI-ML Technologist
Camsdata —Bengaluru, Karnataka
- Java
- C++
- Machine learning
Generative AI Sr Lead
BirlaSoft —Bengaluru, Karnataka
- Azure
- Master's degree
- AWS
Senior Researcher - Multimodal Lab
Dolby —Bengaluru, Karnataka
- Doctoral degree
- Computer Science
- Machine learning
Senior UI / UX Designer - AI Hub
Linde —Bengaluru, Karnataka
- AI
1d
Data Science - Senior Data Scientist (Voice + Text)
Paytm —Bengaluru, Karnataka
- Computer Science
- Master's degree
- Bachelor's degree
AI Solutions Engineer
Gnani Innovations —Bengaluru, Karnataka
- English
- APIs
- AI

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Applied Scientist III, Alexa International

ADCI - Karnataka -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

Qualifications

Law
Doctoral degree
Multilingual
Research
Master's degree
Machine learning
Deep learning
Natural language processing
Scalability
Agile
Debugging

Full job description

DESCRIPTION

Alexa International is looking for passionate, talented, and inventive Senior Applied Scientists to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Senior applied scientists will drive cross-team scientific strategy, influence partner teams, and deliver solutions that have broad impact across Alexa's international products and services.

Key job responsibilities
As a Senior Applied Scientist with the Alexa International team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs, particularly delivering industry-leading scientific research and applied AI for multi-lingual applications — a challenging area for the industry globally. Your work will directly impact our global customers in the form of products and services that support Alexa+. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in text, speech, and vision domains. The ideal candidate possesses a solid understanding of machine learning, speech and/or natural language processing, modern LLM architectures, LLM evaluation & tooling, and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environment, like to tackle complex challenges, excel at swiftly delivering impactful solutions while iterating based on user feedback, and are able to influence and align multiple teams around a shared scientific vision.

A day in the life

Analyze, understand, and model customer behavior and the customer experience based on large-scale data.
Build novel online & offline evaluation metrics and methodologies for multimodal personal digital assistants.
Fine-tune/post-train LLMs using advanced and innovative techniques like SFT, DPO, Reinforcement Learning (RLHF and RLAIF) for supporting model performance specific to a customer’s location and language.
Quickly experiment and set up experimentation framework for agile model and data analysis or A/B testing.
Contribute through industry-first research to drive innovation forward.
Drive cross-team scientific strategy and influence partner teams on LLM evaluation frameworks, post-training methodologies, and best practices for international speech and language systems.
Lead end-to-end delivery of scientifically complex solutions from research to production, including reusable science components and services that resolve architecture deficiencies across teams.
Serve as a scientific thought leader, communicating solutions clearly to partners, stakeholders, and senior leadership.
Actively mentor junior scientists and contribute to the broader internal and external scientific community through publications and community engagement.

BASIC QUALIFICATIONS

PhD, or Master's degree and 10+ years of applied research experience
5+ years of building machine learning models for business application experience
Experience with neural deep learning methods and machine learning
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability
Deep expertise in state-of-the-art LLM architectures, training, evaluation, and post-training techniques (SFT, DPO, RLHF, RLAIF)

PREFERRED QUALIFICATIONS

Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience in professional software and systems development

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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speech language jobs in bangalore city bengaluru karnataka

Applied Scientist III, Alexa International

AI / ML Engineer

Applied Scientist, Alexa Edge AI

Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)

Motion Designer

Lead AI Engineer

Speech Architect

Speech Architect

AI Delivery Manager - Revenue Cycle Management (RCM)

AIML Solution Architect

Data Science - Lead Data Scientist (Voice+Text)

AI/ML Computational Science Specialist

ML Developer — Surveillance Detection Models

Software Engineer, AI/ML, PhD, Early Career, 2026

AI-ML Technologist

Generative AI Sr Lead

Senior Researcher - Multimodal Lab

Senior UI / UX Designer - AI Hub

Data Science - Senior Data Scientist (Voice + Text)

AI Solutions Engineer

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