Talantix.io
Veeam Software•11.03.26
AI SCORE 8.5

Remote ML/​AI Ops Engineer - Data Resilience Specialist

$90K–$120K/year
RemoteData Resilience Technology
Python•TensorFlow•PyTorch•Kubernetes•Docker•CI/CD•Data Security

About the Role

We're hiring a Remote ML/AI Ops Engineer to join our innovative team at Veeam Software. As a leader in data resilience, Veeam empowers businesses to control their data whenever and wherever they need it. In this role, you will play a crucial part in enhancing our data backup, recovery, and security solutions. Join us in shaping the future of data resilience!

What You'll Do

  • Develop and maintain ML/AI models to improve data operations and resilience.
  • Collaborate with cross-functional teams to integrate AI solutions into our existing infrastructure.
  • Monitor and optimize the performance of AI models in production environments.
  • Implement best practices for data security and compliance.
  • Provide technical support and guidance to team members on AI/ML technologies.

Requirements

  • 3+ years of experience as an ML/AI Ops Engineer or similar role.
  • Proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
  • Strong understanding of data management, data security, and cloud technologies.
  • Experience with CI/CD pipelines and DevOps practices.
  • Excellent problem-solving skills and ability to work independently in a remote environment.

Nice to Have

  • Familiarity with Kubernetes and Docker for container orchestration.
  • Experience in data resilience technologies.
  • Knowledge of data privacy regulations and compliance standards.

What We Offer

  • Competitive salary ranging from $90,000 to $120,000 annually.
  • Fully remote work environment with flexible hours.
  • Opportunities for professional development and growth.
  • Comprehensive health benefits and wellness programs.
  • Collaborative and inclusive company culture.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Remote ML/AI Ops Engineer position at Veeam Software offers a competitive salary, flexible remote work, and the opportunity to work on innovative data resilience solutions.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Python with experience in libraries such as TensorFlow and PyTorch, demonstrating a strong capability to develop and optimize machine learning models tailored for data resilience solutions.

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Self-motivated and disciplined in a remote work environment, displaying excellent time management skills to effectively balance multiple projects involving Kubernetes and Docker for container orchestration and deployment.

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Solid understanding of CI/CD practices and data security protocols, with a proactive mindset to identify vulnerabilities in data operations and implement robust solutions to enhance data integrity.

Learning Resources

→Python for Data Science and Machine Learning Bootcampcourse
→Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learningcourse
→Kubernetes Documentationguide

Career Path

Remote ML/AI Ops Engineer - Data Resilience Specialist(Now)→ML/AI Ops Team Lead(1-2 years)→Senior Data Resilience Architect(3-5 years)

Market Overview

Market Size 2024
$35B
Annual Growth
18.4%
AI Adoption
75%
Investment
+150%
Labour Demand
+25%
Avg Salary
$120K

Skills & Requirements

Required
PythonTensorFlowPyTorch
Growing in Demand
Machine Learning Operations (MLOps)Data EngineeringCloud Computing (AWS/GCP/Azure)
Declining
Apache SparkR Programming

Domain Trends

Rise of MLOps
The MLOps market is expected to grow by 30% annually as organizations prioritize operationalizing machine learning models.
Increased Focus on Data Security
76% of companies are investing in data security measures for AI systems, highlighting the importance of data resilience.
Shift to Serverless Architectures
By 2025, 60% of organizations will adopt serverless computing for AI workloads, driving demand for skills in cloud-native technologies.

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