Senior ML DevOps Engineer

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September 9

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IDT BY INDET GROUP

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Telecommunications • Finance • B2B

IDT BY INDET GROUP is a global company that develops communication and payment services, aiming to unite families and grow businesses worldwide. Founded in 1990, IDT has grown to become the third-largest voice carrier with operations in over 20 countries and an annual revenue of $1. 5 billion. The company is known for its variety of communication tools and financial services, including its flagship brand BOSS Revolution, which offers international calling, mobile top-up, and money transfer services. IDT also provides cloud-based VoIP solutions through Net2Phone, as well as sales management systems and POS equipment for small and medium-sized businesses via National Retail Solutions. Additionally, IDT Express offers voice termination, DIDs, and SMS services globally, while Awards2Go provides custom prepaid Visa cards. Based in Newark, New Jersey, IDT is committed to innovation and quality, serving a diverse, multicultural community.

201 - 500 employees

📡 Telecommunications

💸 Finance

🤝 B2B

📋 Description

• Maintain and improve current cloud infrastructure (AWS and on-prem). • Develop and implement a comprehensive MLOps strategy that enables the seamless integration of machine learning models into our environment. • Build internal tools or integrate existing solutions for versioning, model registry, CI/CD, and observability. • Collaborate with cross-functional teams to design, deploy, and manage scalable infrastructure for machine learning workloads. • Own the full development lifecycle from design to incident response. • Work closely with MLOps engineers, data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies. • Enhance fraud detection systems using machine learning

🎯 Requirements

• 3-5+ years of professional experience in DevOps or a related field (ML experience will be plus). • Strong cloud infrastructure skills in AWS / GCP / Azure. • Deep experience with Kubernetes, AWS CloudFormation, Terraform, and containerization (Docker). • Knowledge of setting up CI/CD pipelines using GitHub Actions, GitLab CI, Argo, Jenkins, etc. • Experience with Prometheus, Grafana, OpenTelemetry, Loki, Evidently, etc. • Proficient in Python (preferred) and Bash, with experience building automation tools and scripts. • Experience with SQL/NoSQL databases and distributed systems. • Strong communication skills (English B2+) • It would be a plus: Experience building internal MLOps platforms or developer tools. • It would be a plus: Experience deploying and managing machine learning models in production environments. • It would be a plus: Understanding ML lifecycle, model training and evaluation workflows, reproducibility, and model governance. • It would be a plus: Familiarity with Golang or .NETKnowledge of fraud prevention, fintech, or compliance

🏖️ Benefits

• Remote work flexibility – work from anywhere. • B2B contract with competitive gross compensation in USD • Top-tier hardware to support your productivity. • A challenging role in a team of skilled professionals. • Continuous learning and career growth opportunities. • Coverage for professional development: training, seminars, and conferences. • Access to high-quality English lessons