Data Driven Decision Maker

Há 3 dias

Blumenau, Santa Catarina, Brasil beBeeMachineLearningOperations Tempo inteiro US$150.000 - US$180.000
Machine Learning Operations Engineer

We are seeking a skilled Machine Learning Operations Engineer to join our team.

Job Description:

As a Machine Learning Operations Engineer, you will be responsible for designing and implementing scalable ML infrastructure on Databricks, leveraging Unity Catalog and feature stores to support model development and deployment. You will also design and implement frameworks for detecting data and model drift, ensuring continuous monitoring and high reliability of ML models in production. Additionally, you will develop model calibration frameworks and establish versioning practices to maintain transparency and reproducibility across the ML lifecycle.

Required Skills and Qualifications:

To be successful in this role, you will need 3+ years of experience in MLOps, ML Engineering, Data Engineering or related roles, focusing on deploying and managing ML workflows in production environments. You must also have 5+ years of experience using Python, proficiency in using Databricks (2-3 years), Apache Spark, ML Flow, Unity Catalog, and feature stores. Familiarity with ML lifecycle tools such as MLflow, Kubeflow, and Airflow is essential. Strong knowledge of Git workflows, CI/CD practices, and tools like GitLab or similar is required. A strong understanding of model performance monitoring, drift detection, and retraining workflows is also necessary.

Benefits:

We offer a collaborative work environment, opportunities for growth and professional development, and a competitive salary package. Our company values diversity, equity, and inclusion, and we strive to create a workplace that reflects these values.

What We Offer:

We are committed to creating a positive and inclusive work environment where all employees feel valued and supported. We offer flexible working arrangements, mental health resources, and opportunities for career advancement. Join us and become part of a dynamic team that is shaping the future of technology.

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