Remote Ai/ml engineer / python Jobs – 164 Open Jobs Today

AI/ML - LiveKit Engineer
Eminence Technology —Remote
- Full-time
- Remote
- Azure
- Computer Science
- DevOps
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2d
Data Engineer
Fusemachines —Remote
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AI Devops Engineer - CST Time Zone
Ekshvaku Tech Innovation —Remote
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Senior Databricks Data Engineer
Ashapura Softech Pvt. Ltd. —Remote
- ₹70,000 - ₹1,30,000 a month
- Remote
- Azure
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Senior Software Engineer - Model Training & AI Evals
Chegg —Remote
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MLOps Engineer
Expertshub.ai —Remote
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Software Development Engineer in Test III - Core Modules
HighLevel —Remote
- Full-time
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- Master's degree
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Lead Enterprise Engineer
MindTrilogy IT Solutions Pvt. Ltd —Remote
- ₹1,20,000 - ₹1,50,000 a month
- Night shift
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- Master's degree
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22h
Principal Data Science Engineer
Sabre —Remote
- Full-time
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- Hospitality
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Lead Data Engineer with AI experience
3Pillar —Remote
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AIML trainer
Race pvt ltd —Remote
- From ₹9,435.51 a month
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- Cell phone reimbursement
- Flexible schedule
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Praxis Global Alliance - Backend Engineer & Architect
Praxian Global Private Limited —Remote
- Remote
- Computer Science
- SQL
- Bachelor's degree
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Backend Developer
BeSpoke AI Stylist Pvt Ltd. —Remote
- ₹3,37,631.50 - ₹10,32,559.49 a year
- Full-time
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- Azure
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9d
Senior Generative AI Engineer (India)
Codvo.ai —Remote
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Machine Learning Engineer V
Avalara —Remote
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Senior Azure Data Engineer
Data PlatformExperts —Remote
- ₹15,00,000 - ₹25,00,000 a year
- Full-time
- Remote
- Azure
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- SQL
- Work from home
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6d
Senior Azure Data Engineer
ᴠᴡᴏʀᴋᴇʀ ꜱᴏʟᴜᴛɪᴏɴꜱ ɪɴᴅɪᴀ ᴘᴠᴛ. ʟᴛᴅ. —Remote
- From ₹30,000 a month
- Part-time
- Remote
- Azure
- Computer Science
- Master's degree
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14d
AIML Architect
3Pillar —Remote
- Full-time
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- Azure
- Doctoral degree
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Cloud Data Engineer – Azure, Fabric & Databricks
Inviso —Remote
- Full-time
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- Azure
- DevOps
- SQL
- Health insurance
- Paid time off
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AI/ML - LiveKit Engineer

Eminence Technology -
Remote

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Job details

Permanent | Full-time
2 days ago

Qualifications

BCS
CI/CD
Telephony
Cloud infrastructure
Azure
Go
Node.js
Computer Science
Kubernetes
Software deployment
DevOps
Google Cloud Platform
Java
Databases
AWS
Analysis skills
VoIP
Docker
Bachelor's degree
PostgreSQL
Distributed systems
Continuous integration
Redis
SDKs
Back-end development
REST
Software development
APIs
AI
Python
Debugging
Information Technology

Full job description

Job Description

Position: LiveKit Engineer

Location: Freelancer[Text Wrapping Break]Experience: 3–6 Years

About the Role

We are looking for an experienced LiveKit Engineer to design, develop, and maintain scalable real-time audio, video, and data communication applications using the LiveKit platform. The ideal candidate will possess strong expertise in WebRTC technologies, backend development, cloud infrastructure, and real-time media streaming to build secure, high-performance communication solutions.

Key Responsibilities

Design, develop, and deploy real-time communication applications using LiveKit.
Build and maintain scalable audio, video, screen-sharing, and data communication solutions.
Integrate LiveKit SDKs with web and mobile applications.
Develop backend services for authentication, room management, participant management, and media workflows.
Optimize application performance, latency, bandwidth utilization, and media quality.
Troubleshoot WebRTC connectivity issues, including ICE, STUN, TURN, and NAT traversal.
Implement recording, streaming, and media processing capabilities.
Collaborate closely with Product, Frontend, Backend, and DevOps teams to deliver reliable communication features.
Monitor system performance, troubleshoot production issues, and ensure high platform availability.
Follow secure coding practices and implement authentication, authorization, and encrypted communication.
Prepare and maintain technical documentation, deployment guides, and API documentation.

Required Skills & Qualifications

3–6 years of software development experience with strong backend expertise.
Hands-on experience with LiveKit Server and LiveKit SDKs.
Strong understanding of WebRTC architecture and real-time communication protocols.
Experience with STUN, TURN, ICE, RTP, SRTP, and WebSockets.
Proficiency in Go, Node.js, Python, or Java.
Experience designing and consuming RESTful APIs.
Knowledge of Docker and Kubernetes for containerized deployments.
Experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
Familiarity with PostgreSQL, Redis, or similar databases.
Understanding of CI/CD pipelines and DevOps practices.
Strong analytical, debugging, and problem-solving skills.

Preferred Qualifications

Bachelor's degree in Computer Science, Information Technology, or a related discipline.
Experience building enterprise-scale real-time communication platforms.
Knowledge of SIP, VoIP, telephony integrations, or media servers.
Experience with recording, transcription, live streaming, and media processing pipelines.
Familiarity with monitoring tools such as Prometheus and Grafana.

Preferred Skills (Good to Have)

Experience with AI Voice Agents and conversational AI applications.
Integration experience with Speech-to-Text (STT), Text-to-Speech (TTS), and Large Language Models (LLMs).
Knowledge of LiveKit Agents framework.
Experience with FFmpeg, GStreamer, or media processing pipelines.
Exposure to distributed systems and scalable cloud architectures.

What We Offer

Competitive salary with performance-based incentives.
Opportunity to work on cutting-edge real-time communication and AI technologies.
Flexible work environment.
Continuous learning and professional development opportunities.
Collaborative, innovative, and growth-oriented engineering culture.
Excellent career advancement opportunities.

Success Metrics

Deliver secure, scalable, and low-latency communication solutions.
Maintain high system availability and media quality.
Improve communication reliability and reduce connection failures.
Deliver high-quality features within project timelines while following engineering best practices.

Work Location: Remote

Quick apply

Refine Your Search

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