Machine Learning Engineer
Machine Learning Engineer
Lovelace
Lovelace AI is seeking a Machine Learning Engineer to develop and deploy machine learning models aimed at enhancing national security and emergency management. The role involves algorithm development, model training, deployment, and collaboration with cross-functional teams to create effective ML solutions while ensuring security and compliance.
Qualification
- Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field (Master's or Ph.D. preferred).
- Proven experience in machine learning model development, training, and deployment.
- Proficiency in software development in familiar ML environments.
- Willingness to contribute to new next-gen platforms.
- Enthusiasm for analytic methods from various fields.
Responsibility
- Design, develop, and optimize machine learning algorithms and models for applications like threat detection and predictive analytics.
- Utilize GPU-based optimization and methodologies such as JAX, XLA, and PyTorch for efficiency and real-time operations.
- Train, fine-tune, and evaluate machine learning models using appropriate frameworks and tools.
- Implement ML models into operational systems, ensuring seamless integration with existing infrastructure.
- Collaborate with cross-functional teams, including data scientists and software engineers, to develop comprehensive ML solutions.
- Ensure all ML solutions meet security and compliance standards, especially with sensitive data.
- Create and maintain detailed documentation of machine learning models and processes.
- Conduct rigorous testing and validation of ML systems for robustness and accuracy.
