Senior Machine Learning Engineer

Posted 5 days agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: Mexico, Argentina, Brazil, Peru, Costa Rica

🔍 Industry: Software Development

🏢 Company: Teramind👥 51-100 Productivity Tools Security Cyber Security Enterprise Software Software

⏳ Experience: 5+ years

🪄 Skills: PythonETLMachine LearningNumpyPyTorchAlgorithmsData engineeringData scienceData StructuresPandasTensorflowData visualizationSoftware Engineering

Requirements:

5+ years of hands-on experience in implementing and scaling production machine learning systems.
Strong software engineering skills, with a focus on machine learning implementation and optimization.
Proficiency with popular machine learning frameworks and tools (e.g., TensorFlow, PyTorch) to drive model development.
Understanding of distributed computing principles and experience with real-time data processing architectures.
Experience in deploying systems for efficient batch processing and online ETL (Extract, Transform, Load).
Familiarity with model optimization techniques and performance tuning to ensure efficient operation.
Experience with machine learning applications focused on security is a plus and will be highly regarded.

Responsibilities:

Implement and optimize machine learning models for production environments, ensuring they meet scalability and reliability standards.
Design and build robust data processing pipelines for real-time anomaly detection, enhancing our capability to respond to user behavior dynamically.
Develop comprehensive systems for monitoring model performance and effectiveness, allowing for quick adjustments and improvements.
Create infrastructure for ongoing model training and refinement to adapt to new data and evolving user needs.
Work closely with data scientists to efficiently implement algorithms, ensuring alignment with our overall system architecture.
Collaborate with software engineers to seamlessly integrate machine learning capabilities into our platform, enhancing user experience and functionality.

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