MACHINE LEARNING ENGINEERING SPECIALIST

Há 3 dias

Curitiba, Paraná, Brasil beBeeData Tempo inteiro US$90.000 - US$120.000
Data Scientist Specialist

As a Data Scientist Specialist, you will play a key role in transforming data into strategic insights that drive business decisions. This exciting opportunity is for someone who is passionate about machine learning, data analysis, and software development.

Job Description:

We are looking for a skilled Data Scientist to join our team. As a Data Scientist Specialist, you will be responsible for designing and deploying scalable systems to train, monitor, and expose machine learning models in production. You will work closely with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ML models into production.

Key Responsibilities:

  • Designing system architecture to train, retrain, develop, monitor, and expose machine learning models;
  • 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 with data scientists, software engineers, and cross-functional teams to ensure seamless integration of ML models into production;
  • 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.

Bonus Points:

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

About the Role:

This is an excellent opportunity to join a dynamic team and contribute to the success of our organization. If you have a passion for machine learning, data analysis, and software development, we encourage you to apply for this exciting role.

What We Offer:

  • Competitive salary and benefits package;
  • Ongoing training and professional development opportunities;
  • A collaborative and supportive work environment;
  • The chance to work on challenging projects and make a real impact;
  • A dynamic and growing company with a strong commitment to innovation and excellence.

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