Senior MLOps Engineer - Anti-Fraud & Compliance Platform

Phiture; Lisboa; Teletrabalho; EUR 40 000 - 60 000; Tempo integral

Resumo da oferta

A prominent fintech company in Lisbon is seeking a Senior MLOps Engineer to architect high-performance systems for fraud detection and compliance. Candidates should have 5+ years of MLOps experience, strong Python skills, and cloud platform knowledge. This role offers remote work flexibility and competitive compensation, alongside opportunities for continuous learning and professional development.

Serviços

Remote work flexibility

B2B contract with competitive gross compensation

Top-tier hardware

Career growth opportunities

Coverage for professional development

Access to high-quality English lessons

Qualificações

• 5+ years of professional experience in MLOps or a related field.
• Experience deploying and managing ML models in production environments.
• Knowledge of ML lifecycle, model training and evaluation workflows.
• Strong programming skills in Python and experience with SQL/NoSQL databases.

Responsabilidades

• Develop and implement an MLOps strategy for machine learning models.
• Design and maintain scalable MLOps pipelines.
• Collaborate with teams to manage infrastructure for ML workloads.
• Enhance fraud detection systems using machine learning.

Conhecimentos

MLOps

Python

SQL/NoSQL

Cloud platforms (AWS, GCP, Azure)

Docker/Kubernetes

CI/CD pipelines

Machine learning model deployment

ML pipeline orchestration

Communication skills (English B2+)

Ferramentas

Kubeflow

Airflow

MLflow

GitHub Actions

Prometheus

Grafana

Descrição da oferta de emprego

Secure Global Money Transfers 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 Anti-Fraud & Compliance team, you'll architect high-performance systems that detect fraud and enforce regulatory compliance.

Our ML stack focuses on tabular modeling for fraud detection and prevention.

What You'll Do:

• Develop and implement a comprehensive MLOps strategy that enables the seamless integration of machine learning models into our environment
• Design, implement, and maintain scalable and automated MLOps pipelines (data ingestion, training, evaluation, deployment, and monitoring)
• 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 data scientists, software engineers, and other stakeholders to understand model requirements, deployment needs, and data dependencies
• Enhance fraud detection systems using machine learning

We're Looking For:

• 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, reproducibility, and model governance
• Experience building internal MLOps platforms or developer tools
• Experience with ML pipeline orchestration tools (e.g. Kubeflow, MLflow, Airflow, Metaflow, SageMaker Pipelines)
• Knowledge of setting up CI/CD pipelines for ML workflows using GitHub Actions, GitLab CI, Argo, Jenkins, etc
• Experience deploying models in Docker/Kubernetes environments
• Strong knowledge of cloud platforms: AWS, GCP, or Azure
• Experience with setting up tools like Prometheus, Grafana for model & pipeline observability
• Strong programming skills in Python
• Experience with SQL/NoSQL databases and distributed systems
• Strong communication skills (English B2+)
• Familiarity with Golang, .NET - would be a plus!
• Knowledge of fraud prevention, fintech, or compliance - would be a plus!

We offer you:

• 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

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.

We are not ”another big IT corporation”— we encourage and support in-house entrepreneurs in developing their ideas into business actions.

We understand the challenge of being apart from those who matter most. Boss Revolution is our flagship brand. It includes International Calling, Mobile Top Up, and Money Transfer services. It enables people to keep in touch with family and friends around the world as well as to send money to more than 50 countries with low fees and great exchange rates.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.