Werben HR
MLOps Engineer Worldwide Remote- ID 200184
 
You are someone who wants to influence your own development. You’re looking for a company where youhave the opportunity to pursue your interests and be able to grow professionally.
You bring the following competencies:
• Bachelor’s degree or higher in computer science, computer engineering, or related field.• Over 8 years working on software development projects, including deployment stages.• Over 4 years of hands-on experience in data science and machine learning.• Over 2 years of practical MLOps.
• General understanding of classic ML algorithms for tabular data (decision trees, random forest,XGBoost), model evaluation, and optimization techniques.• Proficiency in programming languages such as Python. Familiarity with Scikit Learn and TensorFlow are a plus.• Containerization and image optimization (Docker), orchestration (Kubernetes), and version control (e.g.: Git).
 Experience with cloud platforms like AWS, particularly with Lambda Functions and ECS.• Understanding of data pipelines, ETL processes, and data storage technologies.• Proficiency in setting up CI/CD pipelines.• Experience with monitoring tools like Prometheus and Grafana, ELK for logging.• Knowledge and experience with relational (SQL) databases• Understanding of security best practices for machine learning models and data• Understanding of provisioning a Jupyter server for ML experimentation.• Experience with tools to versionize datasets.
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