12 melhores vagas de full stack developer para cascais, p11 (Contratando agora!)

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Senior MLOps Engineer

IDT -
Lisboa

Candidatura rápida

Detalhes da oferta

Descrição completa da oferta

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:

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 operations 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+).
Knowledge of fraud prevention, fintech, or compliance.
Familiarity with Golang, .NET - would be a plus!

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.

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!

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.

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