Sr Machine Learning Engineer

Dandelion Payments; Teletrabalho; BRL 160.000 - 200.000; Tempo integral

Resumo da oferta

A leading financial services provider is seeking a Senior Machine Learning Engineer to manage ML pipelines in Brazil. The position requires 5+ years of experience, with strong skills in Python, MLOps frameworks, and containerization (Docker, Kubernetes). Responsibilities include deploying ML models and optimizing AWS infrastructure. The role offers multiple perks, including medical coverage, a daily food allowance, and remote work options.

Serviços

Medical & Dental Coverage

Life Insurance

Daily Food Allowance

Commuter Subsidy

Corporate Phone

Work From Home

Fitness & Wellness Subsidy

Qualificações

• 5+ years of experience as a Machine Learning Engineer or MLOps Engineer.
• Strong understanding of containerization and deployment practices.
• Experience with monitoring and observability stacks.

Responsabilidades

• Design, build, and maintain ML pipelines.
• Implement robust monitoring systems for model performance.
• Optimize infrastructure on cloud platforms (AWS).

Conhecimentos

Python

MLOps frameworks

AWS

Docker

Kubernetes

Data monitoring

Problem-solving

Communication

Ferramentas

scikit-learn

Terraform

CloudFormation

Grafana

CloudWatch

Opsgenie

Datadog

Spark

PySpark

Kinesis

Descrição da oferta de emprego

Ria Money Transfer, a business segment of Euronet Worldwide, Inc. (NASDAQ: EEFT), delivers innovative financial services including fast, secure, and affordable global money transfers to millions of customers along with currency exchange, mobile top-up, bill payment and check cashing services, offering a reliable omnichannel experience. With over 600,000 locations in nearly 200 countries and territories, our purpose remains to open ways for a better everyday life.

We believe we can create a world in which people are empowered to build the life they dream of, no matter who they are or where they are. One customer, one family, one community at a time.

ABOUT THIS ROLE

We’re looking for a Senior Machine Learning with a strong focus on MLOps to join our growing team. In this role, you'll own the end-to-end infrastructure and automation of ML pipelines, with a focus on deploying, scaling, monitoring, and maintaining real-time and batch machine learning workflows in production environments.

This role collaborates closely with data scientists, IT, and platform teams to ensure ML models are production-ready, reliable, and observable at scale.

ROLES & RESPONSIBILITIES

• Own, design, build, and maintain real-time and batch ML and pipelines supporting end-to-end ML lifecycle.
• Develop infrastructure and tooling for continuous integration, testing, deployment, and retraining of ML models.
• Implement and operate feature stores, model registries, and orchestration frameworks for reproducible ML workflows.
• Deploy and serve ML models in low-latency and high-throughput production environments using containerized microservices.
• Implement robust monitoring systems for Model Performance, Data quality, and Operation health.
• Build automated alerting and dashboarding for visibility into ML system health.
• Ensure model traceability, auditability, and governance practices.
• Optimize infrastructure on cloud platforms (AWS) using Infrastructure as Code.
• As part of our ML operation team, this role will be responsible to occasionally be on call over the weekends in the events of incidents.

POSITION REQUIREMENTS

• 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or related role.
• Proficiency in Python and ML libraries (e.g., scikit-learn, …)
• Experience with MLOps frameworks and tools.
• Strong understanding of containerization and deployment (Docker, Kubernetes).
• Proficiency with AWS and IaC tools (Terraform, CloudFormation).
• Experience with monitoring and observability stacks (Grafana, CloudWatch, Opsgenie, Datadog).
• Familiarity with streaming and batch data systems (Spark, PySpark, Kinesis).
• Excellent problem-solving and communication skills; comfortable working cross-functionally.

PERKS & BENEFITS

Medical & Dental Coverage (Co-payment model)

Life Insurance Policy

Daily Food Allowance: R$ 48/day

Commuter Subsidy (only for those who go to the office)

Corporate Phone

Work From Home (WFH)

Fitness & Wellness Subsidy (Wellhub/Gympass)

Ria Money Transfer is an Equal Employment Opportunity employer. All qualified applicants will be considered for employment regardless of age, national origin, race, color, disability, religion, sexual orientation, gender identity or expression, or any other characteristic protected under applicable law. We celebrate diversity and are committed to creating an inclusive environment for all employees. We are committed to providing reasonable accommodations to qualified individuals with disabilities. If you need assistance or an accommodation due to a disability, you may contact us at [emailprotected].

The position responsibilities outlined above are intended to define the general contents and requirements to perform this job. It is not to be taken as a complete statement of responsibilities or requirements. This job description does not restrict the Company’s right to assign or reassign duties and responsibilities to this job as needed.

Do you want to work for Ria Money Transfer?
Be a part of our team that is driven, open, humble and transparent.