Jaxon.AI

Machine Learning Engineer

• Developing and implementing machine learning models and algorithms to create more reliable AI systems
• Collaborate Across Teams: Work with cross-functional teams to integrate ML models into existing systems
• Optimize Data Processing and Model Performance: Conduct comprehensive data management including preprocessing, feature engineering, and model evaluation
• Technical Proficiency: Demonstrate solid machine learning engineering experience, particularly with NLP applications
• Understand Machine Learning Models: Familiar with the process, deploying ML models is not a regular part
• Able to context switch and compartmentalize different projects

Backend Engineer

• Collaborate Across Teams: Work with cross-functional teams to integrate ML models into our existing systems and workflows, enhancing product capabilities.
• Demonstrate Technical Proficiency: Demonstrate solid frontend development experience, particularly with data-intensive applications.
• Be comfortable showing leadership on frontend design best practices.
• Understand Machine Learning Models: Be familiar with machine learning models, particularly how they work and are used, so you can understand DSAIL and what we do.
• Shape the design and technical direction of the platform, propose and implement best-in-class technologies, and drive decisions that impact user satisfaction and product scalability.
• Ensure that our products deliver high performance, scalability, and a fluid user experience, ultimately helping engineers and data scientists perform complex tasks like model deployment, evaluation, and visualization with ease.

Machine Learning Engineer

Full-Stack Python Engineer