What You'll Do

• New Feature Development Design, implement, and deploy new features using Python to enhance our core AI functionalities.
• DevOps and MLOps Contribute to the development and maintenance of our CI/CD pipelines and MLOps infrastructure. This includes automating model training, deployment, and monitoring processes to ensure product resilience and scalability.
• In-house Evaluation System Develop and improve our internal evaluation system to accurately measure model performance, track key metrics, and ensure data integrity.
• Integration and Deployment Manage the integration of our AI solution into client environments.
• AI Model Improvement Work with our existing models to enhance their performance and efficiency. This will include tasks like fine-tuning large language models and applying advanced prompt engineering techniques.
• R&D Contributions Participate in short-term research and development projects to explore new technologies and approaches that can give our product a competitive edge.
• Product Hardening Take ownership of tasks focused on making the product production-ready, including improving reliability, enhancing performance, and implementing robust error handling and monitoring.
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What Experience You'll Need

• Python Development Building new features and improving existing ones.
• DevOps and MLOps Managing CI/CD pipelines and automating model deployment.
• Client Integration Working on client-side integration
• Evaluation Systems Developing in-house systems to monitor and measure model performance.
• AI/ML Techniques Applying fine-tuning and prompt engineering to enhance model performance.
• Production Readiness Making the product resilient and ready for production, including performance optimization and robust error handling.
• 
  
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

What You'll Do

• New Feature Development Design, implement, and deploy new features using Python to enhance our core AI functionalities.
• DevOps and MLOps Contribute to the development and maintenance of our CI/CD pipelines and MLOps infrastructure. This includes automating model training, deployment, and monitoring processes to ensure product resilience and scalability.
• In-house Evaluation System Develop and improve our internal evaluation system to accurately measure model performance, track key metrics, and ensure data integrity.
• Integration and Deployment Manage the integration of our AI solution into client environments.
• AI Model Improvement Work with our existing models to enhance their performance and efficiency. This will include tasks like fine-tuning large language models and applying advanced prompt engineering techniques.
• R&D Contributions Participate in short-term research and development projects to explore new technologies and approaches that can give our product a competitive edge.
• Product Hardening Take ownership of tasks focused on making the product production-ready, including improving reliability, enhancing performance, and implementing robust error handling and monitoring.
• 
  

What Experience You'll Need

• Python Development Building new features and improving existing ones.
• DevOps and MLOps Managing CI/CD pipelines and automating model deployment.
• Client Integration Working on client-side integration
• Evaluation Systems Developing in-house systems to monitor and measure model performance.
• AI/ML Techniques Applying fine-tuning and prompt engineering to enhance model performance.
• Production Readiness Making the product resilient and ready for production, including performance optimization and robust error handling.
• 
  
• We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.