Senior Machine Learning Engineer

Summary

Join Teramind, a global leader in Insider Risk Management, as a Senior Machine Learning Engineer. You will play a key role in building and deploying production-ready machine learning systems that power our platform's core features. This involves implementing and optimizing models, developing data pipelines for real-time anomaly detection, and monitoring model performance. Collaboration with data scientists and software engineers is crucial for seamless integration and optimal system architecture. The position requires 5+ years of experience in production machine learning systems and proficiency in relevant frameworks and tools. Teramind offers a competitive salary, career growth opportunities, flexible time off, ongoing training, and a remote work environment.

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
• All roles require reference and background checks

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

Preferred Qualifications

Experience with machine learning applications focused on security is a plus and will be highly regarded

Benefits

• Competitive salary with a focus on a global market
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Ongoing training and development opportunities
• This is a remote job. Work from anywhere