Senior Software Engineer, Machine Learning
Standard Bots- Full Time
- Senior (5 to 8 years)
Candidates should possess a university degree in Computer Science, Software Engineering, Machine Learning, or a related field. Strong programming skills in Python, particularly with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, FastAPI, and Flask are required. A good understanding of machine learning model architecture and Large Language Models (LLMs) is essential, including their implementation and operation.
The Senior Machine Learning Engineer will collaborate with AI researchers and engineers to bridge the gap between research and production, deploy and manage LLM/ML models in both cloud and on-premise environments, support engineers in integrating ML models into production, automate ML workflows with CI/CD pipelines for model deployment and continuous integration, design and maintain flexible ML workflows to support rapid experimentation, enable fast iteration by setting up tools for model tracking, logging, and comparison, manage research-friendly cloud environments, and optimize model inference for speed, efficiency, and scalability while balancing research flexibility, ensuring AI models and experiments are reproducible by structuring model storage, versioning, and benchmarking practices.
Tools for code quality and security
SonarSource provides tools aimed at improving code quality and security for software developers. Its main products include SonarLint, an IDE plugin that gives real-time feedback on code quality; SonarQube, a self-managed solution for comprehensive code analysis and reporting; and SonarCloud, a cloud-based service that offers similar features with the convenience of cloud management. SonarSource operates on a subscription-based model, allowing clients to access its tools through annual subscriptions or usage-based pricing for cloud services. The company serves over 400,000 organizations worldwide, emphasizing the importance of writing clean, maintainable, and secure code. SonarSource's goal is to promote the philosophy of "Clean Code," which enhances the efficiency of development teams and improves the security and reliability of software applications.