Remote Ai ml machine learning Jobs – 112 Open Jobs Today

MLOps Engineer (GenAI Infrastructure)
Expert Edge Services LLP —Remote
- ₹50,000 - ₹70,000 a month
- Remote
- Master's degree
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7h
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Avalara —Remote
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1d
Data Scientist(india)
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US Computer Science Engineer
IT Tech —Remote
- ₹8,086.00 - ₹38,968.14 a month
- Remote
- Computer science
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Machine Learning Engineer III
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BRAHMA —Remote
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Snowflake Data Platform Lead(India)
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Senior AIOps Engineer I
Porch Group Media —Remote
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Senior AIOps Engineer I
Porch —Remote
- ₹24,75,000 - ₹34,65,000 a year
- Full-time
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Twilio —Remote
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Staff Software Engineer -ML/AI
Lookout —Remote
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Data Scientist (India)
Codvo.ai —Remote
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Staff Analytics Engineer – Customer Data Platform
HighLevel —Remote
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Oracle Integration Cloud OIC -6 to 8 yrs -Remote -Contract
APPTESTIFY GLOBAL SERVICES PVT LTD —Remote
- ₹80,000 - ₹90,000 a month
- Remote
- Oracle
- Machine learning
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4d
AI Engineer
Edureify Technology —Remote
- Full-time
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AI Platform Engineer
AHEAD —Remote
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- Paid time off
Freelance Business Consultant
LabelzAi Techservice —Remote
- From ₹10,000 a month
- Remote
- CRM software
- Sales
- Master's degree
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14d

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MLOps Engineer (GenAI Infrastructure)

Expert Edge Services LLP
Remote

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Job details

Contractual / Temporary
₹50,000 - ₹70,000 a month
7 hours ago

Qualifications

Performance tuning
Law
PyTorch
Master's degree
OS Kernels
Analysis skills
Machine learning
Distributed systems
Systems engineering

Full job description

Job Title: MLOps Engineer (GenAI Infrastructure)

Location: India (Remote)

About the Role

We are hiring highly skilled MLOps Engineers to work on cutting-edge Generative AI infrastructure. This is not a traditional MLOps role—this position focuses on deep AI systems engineering, large-scale training infrastructure, and performance optimization.

You will be part of an advanced AI environment, contributing to the development and optimization of LLM training systems and next-generation machine learning platforms

Key Responsibilities

Design, build, and optimize ML training infrastructure for large-scale models (LLMs)
Improve performance of distributed training pipelines
Develop and evaluate advanced MLOps workflows and systems
Work on low-level optimization using Triton or Pallas (GPU kernel-level)
Collaborate with research and engineering teams to enhance AI system efficiency
Analyze and troubleshoot performance bottlenecks in ML systems

Required Skills & Qualifications

2+ years of experience in MLOps / ML Systems Engineering
Strong hands-on experience with JAX and/or PyTorch
Experience with Triton or Pallas for GPU kernel development
Solid understanding of distributed systems and ML training infrastructure
Experience working with large-scale machine learning pipelines
Strong problem-solving and analytical skills
Ability to clearly communicate technical concepts and decisions

Preferred Qualifications

Experience working with Large Language Models (LLMs)
Knowledge of GPU optimization and performance tuning
Exposure to deep learning frameworks and compiler-level optimizations
Prior experience in high-performance computing environments

Pay: ₹50,000.00 - ₹70,000.00 per month

Work Location: Remote

Quick apply

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ai ml machine learning jobs in remote

MLOps Engineer (GenAI Infrastructure)

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