Senior machine learning engineer

Netvagas; Curitiba; On-site; BRL 167,400 - 223,200; Full time

Benefits offered by this job

Annual performance bonus

Meal and meal card benefits

Financial support for education programs

Continuous learning budget

Language courses

Full medical and dental plans

Childcare support

Life insurance

Transport benefits

Flexible schedule

Wellness program

Club discounts

Job summary

A leading fintech company in Curitiba is seeking a Senior Machine Learning Engineer to join their Data team. The ideal candidate will have experience in MLOps, cloud platforms, and strong Python skills. This full-time role offers various benefits, including educational support and wellness programs. Join us to contribute to innovative payment solutions and shape the future of financial technology.

Qualifications

• Experience in MLOps, DevOps, or related functions.
• Extensive experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in containerization tools such as Docker.
• Familiarity with ML frameworks like TensorFlow or PyTorch.
• Strong Python skills with a clean code track record.
• Experience with CI/CD tools and data pipelines.
• Understanding of security standards in payment systems.

Skills

MLOps

DevOps

AWS

GCP

Azure

Docker

Kubernetes

TensorFlow

PyTorch

Scikit-learn

Python

CI/CD tools

ETL processes

Prometheus

Grafana

DataDog

Job description

Senior Machine Learning Engineer

Location: Curitiba, Paraná, Brazil.

Netvagas is a unicorn fintech expanding to 29 countries, built on AI. Our platform connects leading global companies to over 1 billion consumers, enabling seamless international payments. Join us to help shape the future of payments.

The Data team turns data into intelligence, modeling, organizing, and analyzing data to generate strategic insights that drive decision-making at EBANX. We are naturally curious and evidence-driven.

Essential Qualifications for this Role

• Experience in MLOps, DevOps, or related functions.
• Extensive experience with cloud platforms (AWS, GCP, Azure).
• Proficiency in containerization tools such as Docker and orchestration systems (e.g., Kubernetes).
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong Python skills with a track record of writing clean, efficient, and sustainable code.
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Knowledge of data pipelines and ETL processes (streaming and batch).
• Experience with monitoring, logging, and alerting for ML services (e.g., Prometheus, Grafana, DataDog).
• Understanding of security and compliance standards in payment systems.

EBANX Benefits

• WAVES Program: Annual bonus based on company performance.
• Meal & meal card benefits with flexible benefit cards.
• EBANX Education: Financial support for undergraduate, graduate, and MBA programs.
• Continuous learning budget for workshops, courses, and certifications.
• Language courses in Spanish, English, and Portuguese.
• Full medical and dental plans with complete coverage for employees and dependent subsidies.
• EBANX Family: Childcare support, extended parental leave, and support for pregnant employees.
• Life insurance fully paid by EBANX.
• Transport benefits: parking assistance or public transportation voucher.
• Flexible schedule with one additional day off on your birthday and year-end holidays around Christmas and New Year.
• Wellness program with access to Wellhub, e-sports, and SESC partnerships.
• Blue Club discounts at bakeries, restaurants, stores, courses, and more.

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Engineering and Information Technology