Talantix.io
Veeam Software•06.03.26
AI SCORE 8.5

Remote ML/​AI Ops Engineer - Data Resilience Leader

$90K–$120K/year
RemoteData Resilience
Python•Machine Learning•AI•Data Analysis•AWS•Azure•Docker•Kubernetes

About the Role

Join Veeam as a Remote ML/AI Ops Engineer and become part of a team that is at the forefront of data resilience. In this role, you will leverage your expertise in machine learning and artificial intelligence to enhance our data operations. Veeam is the #1 global market leader in data resilience, providing solutions that empower businesses to control their data anytime, anywhere. As a Remote ML/AI Ops Engineer, you'll play a critical role in ensuring our clients' data is secure, backed up, and easily recoverable.

What You'll Do

  • Develop and implement ML/AI models to optimize data operations and resilience.
  • Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
  • Monitor and maintain the performance of AI systems, ensuring they meet business needs.
  • Analyze data to derive insights and improve operational efficiency.
  • Stay updated on the latest trends in AI and machine learning to continuously enhance our offerings.

Requirements

  • 3+ years of experience in ML/AI operations or related fields.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with cloud platforms such as AWS or Azure.
  • Familiarity with data management and analytics tools.
  • Ability to work independently in a remote environment.

Nice to Have

  • Experience with data resilience technologies.
  • Knowledge of DevOps practices and tools.
  • Familiarity with containerization technologies like Docker or Kubernetes.

What We Offer

  • Competitive salary and performance-based bonuses.
  • Flexible remote work environment.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and growth.
  • Work with a diverse team of experts in the field.
Why This Job8.5 of 10

This Remote ML/AI Ops Engineer role at Veeam offers a unique opportunity to work with cutting-edge technology in a leading company focused on data resilience. Enjoy a competitive salary and flexible work arrangements.

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

Who Will Succeed Here

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Proficiency in Python for building and deploying machine learning models, along with hands-on experience with AWS or Azure for cloud-based data management and resilience solutions.

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Strong familiarity with containerization and orchestration technologies such as Docker and Kubernetes, enabling efficient deployment and scaling of ML/AI applications in a remote work environment.

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A proactive mindset with a focus on data analysis and problem-solving, coupled with the ability to work independently and manage time effectively in a fully remote setup.

Learning Resources

→Python for Data Science Handbookguide
→AWS Machine Learning Foundations Coursecourse
→Kubernetes for Beginners - Full Coursevideo

Career Path

Remote ML/AI Ops Engineer - Data Resilience Leader(Now)→ML/AI Operations Manager(1-2 years)→Director of Data Operations(3-5 years)

Market Overview

Market Size 2024
$120B
Annual Growth
20.5%
AI Adoption
62%
Investment
+150%
Labour Demand
+35%
Avg Salary
$130K

Skills & Requirements

Required
PythonMachine LearningAI
Growing in Demand
TensorFlowPyTorchMLOps
Declining
RMatlab

Domain Trends

Rise of MLOps
The MLOps market is projected to grow by 25% annually as organizations adopt machine learning models into production environments more efficiently.
Increased Cloud Integration
Over 70% of companies are moving their AI workloads to cloud platforms like AWS and Azure, enhancing scalability and collaboration.
Focus on Data Resilience
Data resilience strategies are becoming critical, with 58% of firms prioritizing data recovery and integrity in their AI and ML operations.

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