Machine Learning Engineer

1 dia atrás

Curitiba, Paraná, Brasil beBeeMachineLearning Tempo inteiro R$81.127 - R$136.562
Job Title: Machine Learning Engineering Specialist

Overview:

As a Machine Learning Engineering Specialist, you will play a critical role in expanding access to payments and technology in dynamic markets.

The ideal candidate will have experience in MLOps, DevOps, or related roles, with strong proficiency in cloud platforms (AWS, GCP, Azure), containerization tools like Docker, and orchestration systems (e.g., Kubernetes).

  • Responsibilities:
  • Owning the design of system architecture to train, retrain, develop, monitor, and expose machine learning models;
  • Designing, developing, and maintaining scalable infrastructure for ML pipelines and APIs;
  • Implementing and managing CI/CD pipelines for ML model deployment, updates, and continuous monitoring;
  • Collaborating closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ML models into production;
  • Ensuring compliance with security and privacy requirements, particularly in a financial context;
  • Troubleshooting and optimizing ML production systems, ensuring performance, reliability, and scalability;
  • Sharing knowledge, mentoring, and supporting team members in best practices for MLOps, API development, and productionization of machine learning models.

Requirements:

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

Nice-to-Haves:

  • Knowledge of Kafka or similar event streaming platforms;
  • Familiarity with financial services or payment systems.

What We Offer:

  • Annual bonuses based on the company's performance;
  • Credit provided on a flexible benefits card;
  • Financial support for undergraduate, graduate, and MBA programs to support your professional growth;
  • Budget dedicated to workshops, courses, and certifications to encourage your continuous development;
  • Spanish, English, and Portuguese lessons for your personal and professional development;
  • Comprehensive medical and dental plans fully covered for the employee, plus subsidies for dependents to take care of your and your family's well-being;
  • Childcare assistance, extended parental leave for caregivers, and support programs for pregnant employees and children;
  • Fully paid life insurance;
  • Parking assistance or transportation vouchers, depending on your needs;
  • A special day off on your birthday, semi-flexible working hours (8 hours/day, Monday to Friday), and year-end recess between Christmas and New Year's without affecting your vacation days;
  • Well-being program including access to Wellhub, e-Sports, and partnerships with SESC;
  • Exclusive discounts at bakeries, restaurants, stores, courses, and more.

How to Apply:

Follow us on LinkedIn and check out our Instagram to learn more about the #ebanxlife.

Seniority level
  • Entry level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

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