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Description:
The company is a leading security platform specializing in deepfake detection.
They have cutting-edge models to detect fraudulent text, audio, and visual content.
The technology is developed by a seasoned leadership team with over 20 years of experience.
They collaborate with government agencies and enterprise clients to enhance security measures.
The role involves optimizing neural networks for scalability, implementing security measures, and creating testing protocols.
The position requires collaboration with both AI and Engineering teams.
Requirements:
Bachelor's or Master's degree in Computer Science or a related field.
3+ years of industry experience with ML/DL models and ML Ops.
Strong foundation in machine learning and data science.
Ability to collaborate effectively with cross-functional teams.
Experience in optimizing scalability within machine learning infrastructure.
Knowledge of security best practices and regulatory compliance.
Continuous learning mindset with awareness of emerging ML technologies.
Proficiency in CI/CD concepts within machine learning workflows.
Skills in version control, automated testing, and real-time monitoring for deployed models.
Benefits:
Competitive salary and bonus incentives.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous paid time off and company holidays.
Professional development opportunities, including conferences and workshops.
Employee stock options and retirement savings plans.
Collaborative and inclusive work culture with regular team-building events.