Senior MLOps Engineer

Reposted 12 Days Ago
Be an Early Applicant
7 Locations
Remote or Hybrid
100K-150K Annually
Senior level
Other
The Role
As a Senior MLOps Engineer, you'll design and implement MLOps strategies and pipelines while collaborating to enhance fraud detection systems.
Summary Generated by Built In

Increase Business Value with Cutting-Edge Technology

Join our mission to protect cross-border transactions, helping customers send money safely worldwide. As a Senior MLOps Engineer in our AI Lab team, you'll architect high-performance systems that drive business value by reducing fraud, increasing sales with better customer interaction, and reducing cost through more effective processes. Our ML stack focuses on leveraging AI to drive business value across the organization and to build world class decisioning driven by best in class machine learning.

What You'll Do:

  • Platform Alignment & Collaboration: Act as the technical bridge between Modelers (Data Scientists) and DevOps/Infrastructure teams. Build and maintain a seamless platform for real-time model deployment and serving.
  • Production-Grade Infrastructure: Design and own the internal MLOps platform from scratch, focusing on production K8s clusters, automated GitOps pipelines, and scalable model registries.
  • Real-Time Serving & Automation: Implement high-performance ML pipelines for real-time inference, model evaluation, rollouts, and automated rollbacks.
  • AI Observability & Governance: Drive technical standards for production model monitoring, tracking data/concept drift, and ensuring data lineage and security (RBAC).

We're Looking For:

  • 8+ years of overall experience in Infrastructure or Platform Engineering, with 4+ years focused deeply on hands-on production MLOps architectures.

  • Strong Kubernetes expertise: Deep hands-on experience running and scaling ML workloads on K8s and cloud environments.

  • Hands-on MLOps Stack: Experience building or maintaining infrastructure using tools for model serving, orchestration, or monitoring (e.g., working with technologies like Kubernetes, ArgoCD, MLflow/ClearML, Dagster/Airflow, Kserve, or Evidently).

  • Real-Time Model Serving: Practical experience taking models out of data science environments and operationalizing them for low-latency, real-time production serving.

  • Strong Individual Contributor: You thrive as a hands-on technical expert. You enjoy owning the architecture, engineering the platform, and driving technical alignment across teams.

We offer you:

  • Remote b2b or hybrid (Belarus-Moldova) work opportunity!
  • Stable job with long-term growth perspective.
  • Competitive salary with annual performance review.
  • Really good hardware.
  • An exciting and challenging job with talented people around.
  • Continuous learning and career growth opportunities.
  • Compensation for professional training, seminars, and conferences.
  • Referral program – get rewarded for helping us grow the team with talented people.
  • Company-supported English classes to enhance your professional growth.
  • More perks for the Minsk and Chisinau office employees.

A few words about us:
 
IDT Corporation is a global communications company founded in 1990 and headquartered in Newark, New Jersey. We are industry leaders in prepaid communication and payment services and one of the largest international voice carriers. We are listed on the NYSE, employ over 1800 people across 20 countries, and have over $1.5 billion in revenues. 
 
IDT is not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.
 
Our flagship brand, BOSS Revolution, offers Money Transfer, International Calling, and Mobile Top-Up services and supports IDT’s mission of enabling people to keep in touch and share resources with family and friends worldwide.
If you're looking for a company that will give you the maximum flexibility in choosing a location to work, this opportunity is for you! 

Skills Required

  • 5+ years of professional experience in MLOps or a related field
  • Experience deploying and managing machine learning models in production environments
  • Understanding ML lifecycle, model training and evaluation workflows
  • Experience with ML pipeline orchestration tools (e.g. Kubeflow, MLflow, Airflow, etc.)
  • Experience managing CI/CD pipelines for ML workflows using relevant tools
  • Strong programming skills in Python
  • Experience with SQL/NoSQL databases and distributed systems
  • Strong communication skills (English B2+)
  • Familiarity with Golang, .NET
  • Knowledge of fraud prevention, fintech, or compliance
Am I A Good Fit?
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The Company
HQ: Newark, NJ
1,151 Employees
Year Founded: 1990

What We Do

We know that you’ll have looked at quite a few company pages but IDT is different. We want people who want to make a big difference to our company with big ambitions. We’re a truly global team, with 1300 people working across all continents, apart from (at the moment!) Antarctica. But we are proud that despite our size, we encourage and support any in-house entrepreneurs to develop their ideas into business action. Our exciting growth plans make it a great time to join us. Our people are the reason for IDT’s passion for success. The IDT family is made up of people of all backgrounds, expertise, and interests, all with a relentless team spirit. We need people who share both our commitment to success and excitement about our journey. You won’t ever be bored or have to wonder how to fill your time. You’ll find the work challenging but you’ll get the support of a great team to help you beat those challenges. You will also be expected to support others as well as work hard, work well and work with a smile. If you want a join a company that will help you become your brilliant best and achieve amazing results, then you want to join IDT.

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